<div class="content-intro"><p><a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered <a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose <a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> to orchestrate high-impact campaigns across programmatic advertising and marketing channels.</p></div><div class="section page-centered"><div class="section page-centered">
<div class="section page-centered">
<div>We're looking to add a <strong>Machine Learning Engineer</strong> to our Data Science team! This team works on solving complex problems for <a href="https://himalayas.app/companies/stackadapt">StackAdapt</a>'s digital advertising platform. You'll be working directly with our Applied Machine Learning Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.</div>
<div>
<strong><a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> is a remote-first company with teams around the world.</strong> Our teams work in a fully distributed environment, and we are open to candidates based in Canada and the United States.</div>
<div>Want to learn more about our Data Science Team: </div>
<div>Learn more about our team culture here: </div>
<div>Watch our talk at Amazon Tech Talks: </div>
</div>
<div class="section page-centered">
<h3>What you'll be doing:</h3>
<ul>
<li>Design modular and scalable real time data pipelines to handle huge datasets</li>
<li>Understand and implement custom ML algorithms in a low latency environment</li>
<li>Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently</li>
</ul>
</div>
<div class="section page-centered">
<h3>What you'll bring to the table:</h3>
<ul>
<li>Have the ability to take an ambiguously defined task, and break it down into actionable steps</li>
<li>Have deep understanding of algorithm and software design, concurrency, and data structures</li>
<li>Experience in implementing probabilistic or machine learning algorithms</li>
<li>Interest in designing scalable distributed systems</li>
<li>A high GPA from a well-respected Computer Science program</li>
<li>Enjoy working in a friendly, collaborative environment with others</li>
</ul>
</div>
</div></div><div class="content-pay-transparency">
<div class="pay-input">
<div class="description">
<p>The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. <a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. <em>We do not ask c</em>andidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.</p>
<p>This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.</p>
<h3>Factors Influencing Final Compensation:</h3>
<ul>
<li>The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.</li>
<li>Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.</li>
</ul>
</div>
<div class="title">Canada Base Salary Band</div>
<div class="pay-range">$140,000—$192,500 CAD</div>
</div>
<div class="pay-input">
<div class="title">USA Base Salary Band</div>
<div class="pay-range">$128,000—$176,000 USD</div>
</div>
</div><div class="content-conclusion">
<div class="section page-centered">
<h3>
<a href="https://himalayas.app/companies/stackadapt">StackAdapt</a>er's Enjoy:</h3>
<ul>
<li>Highly competitive salary</li>
<li>Retirement/ 401K/ Pension Savings globally</li>
<li>Competitive Paid time off packages including birthday's off!</li>
<li>Access to a comprehensive mental health care program</li>
<li>Health benefits from day one of employment</li>
<li>Work from home reimbursements</li>
<li>Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto</li>
<li>Robust training and onboarding program</li>
<li>Coverage and support of personal development initiatives (conferences, courses, books etc)</li>
<li>Access to <a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> programmatic courses and certifications to support continuous learning</li>
<li>An awesome parental leave program</li>
<li>A friendly, welcoming, and supportive culture</li>
<li>Our social and team events!</li>
</ul>
<p><em>Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where <a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.</em></p>
</div>
<div class="section page-centered">
<div><em><a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at <a href="https://himalayas.app/companies/stackadapt">StackAdapt</a>. </em></div>
<div><em><a href="https://himalayas.app/companies/stackadapt">StackAdapt</a> is committed to providing an inclusive and accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us know.</em></div>
<div><em>We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.</em></div>
<h3>About <a href="https://himalayas.app/companies/stackadapt">StackAdapt</a>
</h3>
<div>We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:</div>
<div>G2 Top Software for 2026<br>2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®<br>#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising</div>
<div>2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards</div>
<div>To learn more about our privacy practices, please see our Privacy Policy.</div>
</div>
</div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Machine Learning Engineer

<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"><div class="c-message__message_blocks c-message__message_blocks--rich_text"><div class="p-block_kit_renderer"><div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"><div class="p-rich_text_block"><div class="p-rich_text_section">
<a href="https://himalayas.app/companies/reddit">Reddit</a> is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, <a href="https://himalayas.app/companies/reddit">Reddit</a> users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, <a href="https://himalayas.app/companies/reddit">Reddit</a> is one of the internet’s largest sources of information. For more information, visit .</div></div></div></div></div></div></div><p><strong>Location: </strong><a href="https://himalayas.app/companies/reddit">Reddit</a> has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.</p><p>The <strong>Ads Foundational Representations (AFR)</strong> team develops signals and representations of <a href="https://himalayas.app/companies/reddit">Reddit</a>’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that <a href="https://himalayas.app/companies/reddit">Reddit</a> Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. </p><p>Our team has the potential to highlight one of <a href="https://himalayas.app/companies/reddit">Reddit</a>'s biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:</p><ul>
<li>
<strong>Multimodal &amp; Content Embeddings</strong> - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. </li>
<li>
<strong>Contextual and Behavioral Relevance </strong>- Working with Product &amp; Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.</li>
<li>
<strong>Knowledge Graph Embeddings - </strong>Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting &amp; business insights. </li>
<li>
<strong>User Intent Modeling -</strong> Leveraging various techniques to introduce user representations based on the content they interact with: batch &amp; real-time sequence modeling, LLM summarization, etc. </li>
<li>
<strong>LLM-based Representations</strong> - Leveraging LLMs, VLMs, and foundational models to build complex representations of <a href="https://himalayas.app/companies/reddit">Reddit</a> entities that improve ranking outcomes</li>
</ul><p>The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.</p><p>As a <strong>Staff ML Engineer</strong>, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. </p><p>Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy &amp; designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis &amp; engineering, modeling &amp; automation).  </p><h3>Responsibilities</h3><ul>
<li>Providing technical leadership and mentorship to MLEs in the team: driving designs &amp; their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. </li>
<li>Working closely with team/org leadership developing technical strategy for content-based embeddings &amp; relevance for Ads.</li>
<li>Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.  </li>
<li>Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. </li>
<li>Building data processing and inference pipelines for the models we develop. </li>
<li>Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. </li>
<li>Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.</li>
<li>Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.</li>
<li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li>
</ul><h3>Required Qualifications:</h3><ul>
<li>7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.</li>
<li>Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. </li>
<li>Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. </li>
<li>Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. </li>
<li>Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. </li>
<li>Familiarity with the Ads domain and/or Search/Recommender systems.</li>
<li>Experience with mainstream DL frameworks: PyTorch or TensorFlow.</li>
</ul><h3>Preferred Qualifications:</h3><ul>
<li>Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)</li>
<li>Tech leadership experience: mentoring junior engineers and leading complex projects. </li>
<li>Hands-on experience with using/fine-tuning/building LLMs.</li>
</ul><h3>Benefits:</h3><ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Group Personal Pension Scheme with Employer match</li>
<li>Private Medical and Dental Scheme</li>
<li>Income Replacement Programs</li>
<li>Bike to Work scheme</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul><div class="content-conclusion">
<p>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.</p>
<p><em><a href="https://himalayas.app/companies/reddit">Reddit</a> is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  <a href="https://himalayas.app/companies/reddit">Reddit</a> is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</em></p>
</div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior Machine Learning Engineer, Ads Foundational Representations

<p>A little about us…<a href="https://jobicy.com/company/fleetio" target="_blank" rel="noopener">Fleetio</a> is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud <a href="https://rubyonrails.org/foundation" rel="nofollow ugc noopener" target="_blank">founding member of the Rails Foundation</a>!</p>
<p><strong>More about our team and company:</strong></p>
<ul>
<li>Fleetio overview video: <a href="https://www.youtube.com/watch?v=YoXyXTFWbkg" rel="nofollow ugc noopener" target="_blank">https://www.youtube.com/watch?v=YoXyXTFWbkg</a></li>
<li>Our careers page: <a href="https://www.fleetio.com/careers" rel="nofollow ugc noopener" target="_blank">https://www.fleetio.com/careers</a></li>
</ul>
<p>Fleetio is looking for a product-minded Senior Applied Data Scientist to join our Fleet Intelligence team. You will help turn years of fleet maintenance and operational data into trusted, actionable intelligence that helps customers anticipate what is ahead and make better decisions about usage, cost, availability, maintenance risk, and asset lifecycle.</p>
<p>This is an applied role at the intersection of data science, machine learning, analytics engineering, and product development. You will work closely with Product Managers, Designers, Software Engineers, and Data partners to identify valuable prediction problems, develop practical models, and bring them into customer-facing workflows. Your goal is to deliver intelligence that changes a decision, arrives early enough to act on, and communicates uncertainty honestly.</p>
<p>Your initial mandate will be grounded in confirmed Fleet Intelligence work: utilization and tire intelligence, ROI measurement, existing predictive models, and the analytics foundations needed to support customer-facing intelligence. You will assess current model quality, establish credible baselines, and help the team ship useful capabilities while strengthening its data-science practices.</p>
<p>Over time, you will help evaluate and shape opportunities for Predictive Fleet Intelligence, including projection, anticipation, and risk inference. You will help determine which opportunities are technically credible, valuable to customers, and ready to become durable product investments.</p>
<h3>More About Our Team and Company</h3>
<ul>
<li>Watch our culture videos: <a href="https://fleet.io/culture" rel="nofollow ugc noopener" target="_blank">https://fleet.io/culture</a></li>
<li>Engineering culture, interview process, and videos: <a href="https://www.fleetio.com/careers/engineering" rel="nofollow ugc noopener" target="_blank">https://www.fleetio.com/careers/engineering</a></li>
<li>Fleetio overview video: <a href="https://www.youtube.com/watch?v=IlvIbwZT3oU" rel="nofollow ugc noopener" target="_blank">https://www.youtube.com/watch?v=IlvIbwZT3oU</a></li>
<li>More about the Fleetio platform: <a href="https://www.fleetio.com/features" rel="nofollow ugc noopener" target="_blank">https://www.fleetio.com/features</a></li>
<li>API docs: <a href="https://developer.fleetio.com" rel="nofollow ugc noopener" target="_blank">https://developer.fleetio.com</a></li>
</ul>
<p><em>This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico.</em></p>
<h3>Who You Are</h3>
<p>You are an applied data scientist who enjoys working on ambiguous, high-value product problems. You can translate a customer or business decision into a measurable modeling problem, establish a credible baseline, and iteratively improve it. You know when straightforward statistics or deterministic projection is the right answer and when a machine learning approach is warranted.</p>
<p>You care deeply about correctness, explainability, and trust. You are comfortable communicating confidence intervals, limitations, and data gaps to technical and non-technical partners. You collaborate well with software and data engineers, but you can independently explore data, build production-quality models, define evaluation methods, and guide how model outputs should appear in a product experience.</p>
<p>You are pragmatic, product-minded, and outcome-oriented. You would rather ship a useful, well-calibrated forecast than an impressive model that does not change a customer decision.</p>
<h3>Your Impact</h3>
<ul>
<li>Help deliver near-term Fleet Intelligence initiatives, including tire intelligence, utilization intelligence, ROI measurement, existing predictive models, and the analytical foundations that support customer-facing intelligence.</li>
<li>Evaluate and develop credible projections or predictive models for fleet usage, maintenance cost, availability, condition and failure risk, and asset lifecycle decisions as product direction and evidence mature.</li>
<li>Translate product questions into clear hypotheses, target variables, baselines, evaluation plans, and incremental delivery milestones.</li>
<li>Explore Fleetio’s maintenance, usage, cost, work-order, telematics, warranty, and asset-history data to identify predictive signals and material data gaps.</li>
<li>Build, validate, and operationalize models from experimentation through production monitoring and iteration.</li>
<li>Define model-quality metrics, confidence thresholds, drift detection, and feedback loops appropriate to the cost and reversibility of the customer decision.</li>
<li>Partner with Product and Design to make model outputs understandable, explainable, and actionable inside the workflows where customers already make decisions.</li>
<li>Establish reusable practices for experimentation, model documentation, validation, monitoring, and responsible claims about predictive performance.</li>
<li>Communicate findings, tradeoffs, risks, and recommendations clearly to technical partners, product leaders, and executives.</li>
<li>Share knowledge through design reviews, documentation, pairing, and mentorship across Fleet Intelligence and adjacent teams.</li>
</ul>
<h3>Your Experience</h3>
<ul>
<li>5+ years of experience in applied data science, machine learning, statistical modeling, or a closely related role.</li>
<li>A track record of developing and shipping models or decision-support systems that influenced real customer or business outcomes.</li>
<li>Strong proficiency with DBT, Python, and SQL, including exploratory analysis, feature engineering, model development, and evaluation on large datasets.</li>
<li>Strong grounding in statistics and machine learning fundamentals, including model selection, validation, calibration, uncertainty, bias, and error analysis.</li>
<li>Experience with time-series forecasting, regression, classification, ranking, anomaly detection, survival or reliability analysis, or optimization; depth in several of these areas is more important than breadth across all of them.</li>
<li>Experience taking models beyond notebooks into reliable production workflows, including versioning, testing, deployment, observability, performance monitoring, and retraining or refresh strategies.</li>
<li>Experience using modern cloud data platforms and transformation workflows such as Snowflake, dbt, and orchestration tools in support of applied modeling work.</li>
<li>Ability to identify data-quality limitations, recommend improvements, and collaborate with data engineers on pipelines and source reliability.</li>
<li>Excellent written and verbal communication, particularly when explaining complex methods, uncertainty, and tradeoffs to non-specialists.</li>
<li>Experience working cross-functionally with Product, Design, Software Engineering, and Data Engineering.</li>
</ul>
<h3>Considered a Plus</h3>
<ul>
<li>Experience with fleet, transportation, maintenance, reliability, asset management, insurance, logistics, or another operational domain.</li>
<li>Experience modeling maintenance cost, equipment failure, remaining useful life, warranty exposure, utilization, demand, or asset replacement decisions.</li>
<li>Familiarity with semantic layers and analytics tools such as ThoughtSpot or Cube.</li>
<li>Experience designing experiments or evaluating recommendations when randomized testing is impractical.</li>
<li>Experience contributing to customer-facing software products or collaborating closely with full-stack product engineers.</li>
<li>Graduate study in statistics, data science, computer science, operations research, applied mathematics, economics, or a related quantitative field.</li>
</ul>
<h3>Benefits </h3>
<ul>
<li>Multiple health/dental coverage options (100% coverage for employee, 50% for family)</li>
<li>Vision insurance</li>
<li>Incentive stock options</li>
<li>401(k) match of 4%</li>
<li>PTO - 4 weeks (increases at year two!)</li>
<li>12 company holidays + 2 floating holidays</li>
<li>Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid)</li>
<li>FSA &amp; HSA options</li>
<li>Short and long term disability (short term 100% paid)</li>
<li>Community service funds</li>
<li>Professional development funds</li>
<li>Wellbeing fund - $150 quarterly</li>
<li>Business expense stipend - $125 quarterly</li>
<li>Mac laptop + new hire equipment stipend</li>
<li>Fully stocked kitchen with tons of drinks &amp; snacks (BHM only)</li>
<li>Remote working friendly since 2012 #LI-Remote</li>
</ul>
<p><em>Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need.</em></p>
<p><em>This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will.</em></p>
<p><em>If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.</em></p>

Senior Applied Data Scientist, Fleet Intelligence

<p><a href="https://himalayas.app/companies/webflow">Webflow</a> is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at <a href="https://himalayas.app/companies/webflow">Webflow</a> will need grit, because we move fast, without ever sacrificing craft or quality.</p><p>We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact.</p><h3><strong>About the role:</strong></h3><ul>
<li>Location: Remote-first (United States; BC &amp; ON, Canada)</li>
<li>Full-time</li>
<li>Permanent</li>
<li>Exempt</li>
<li>Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. </li>
</ul><ul>
<li>United States  (all figures cited below in USD and pertain to workers in the United States)<ul>
<li>Zone A: 232,000 - 290,000</li>
<li>Zone B: 217,600- 272,000</li>
<li>Zone C: 204,800- 256,000</li>
</ul>
</li>
<li>Canada  (All figures cited below in CAD and pertain to workers in ON &amp; BC, Canada)<ul><li>253,000 - 316,000</li></ul>
</li>
</ul><p>Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.</p><ul>
<li>Application Information:<ul>
<li>Application deadline: applications accepted on an ongoing basis until position is closed and filled</li>
<li>This posting is for a new position</li>
</ul>
</li>
<li>Reporting to the Director, Engineering </li>
</ul><p>As a Senior Staff Machine Learning Scientist, you’ll: </p><ul>
<li>Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation.</li>
<li>Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning.</li>
<li>Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences.</li>
<li>Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks.</li>
<li>Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems.</li>
<li>Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI.</li>
<li>Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team.</li>
<li>Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems.</li>
</ul><h3><strong>About you:</strong></h3><h3>Requirements:</h3><ul><li>BA/BS degree or equivalent experience</li></ul><p>You’ll thrive as a Senior Staff Machine Learning Scientist if you:</p><ul>
<li>Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training.</li>
<li>Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred.</li>
<li>8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning.</li>
<li>Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models.</li>
<li>Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances.</li>
<li>Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code.</li>
<li>Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow.</li>
<li>Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization.</li>
<li>Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences.</li>
<li>Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.</li>
</ul><h3><strong>Our Core Behaviors:</strong></h3><ul>
<li>
<strong>Build lasting customer trust.</strong> We build trust by taking action that puts customer trust first.</li>
<li>
<strong>Win together.</strong> We play to win, and we win as one team. Success at <a href="https://himalayas.app/companies/webflow">Webflow</a> isn't a solo act.</li>
<li>
<strong>Reinvent ourselves. </strong>We don't just improve what exists, we imagine what's possible.</li>
<li>
<strong>Deliver with speed, quality, and craft.</strong> We move fast because the moment demands it, and we do so without lowering the bar.</li>
</ul><h3><strong>Benefits</strong></h3><ul>
<li>
<strong>Ownership in what you help build.</strong> Every permanent <a href="https://himalayas.app/companies/webflow">Webflow</a>er receives equity (RSUs) in our growing, privately held company.</li>
<li>
<strong>Health coverage that actually covers you.</strong> Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with <a href="https://himalayas.app/companies/webflow">Webflow</a> covering most premiums.</li>
<li>
<strong>Support for every stage of family life</strong>. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.</li>
<li>
<strong>Time off that’s actually off. </strong>Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.</li>
<li>
<strong>Wellness for the whole you. </strong>Access to mental health resources, therapy and coaching.</li>
<li>
<strong>Invest in your future. </strong>A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. </li>
<li>
<strong>Monthly stipends that flex with your life.</strong> Localized support for work and wellness expenses — from Wi-Fi to workouts.</li>
<li>
<strong>Bonus for building together. </strong>All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.</li>
</ul><p><em>Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.</em></p><h3><strong>Remote, together</strong></h3><p>At <a href="https://himalayas.app/companies/webflow">Webflow</a>, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, <a href="https://himalayas.app/companies/webflow">Webflow</a> will consider for employment qualified applicants with arrest and conviction records.</p><h3><strong>Stay connected</strong></h3><p>Not ready to apply, but want to be part of the <a href="https://himalayas.app/companies/webflow">Webflow</a> community? Consider following our story on our <a href="https://himalayas.app/companies/webflow">Webflow</a> Blog, LinkedIn, X (Twitter), and/or Glassdoor. </p><h3><strong>Please note:</strong></h3><p><em>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.</em></p><p><em>To join <a href="https://himalayas.app/companies/webflow">Webflow</a>, you'll need a valid right to work authorization depending on the country of employment.</em></p><p><em>If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.</em></p><p><em>For information about how <a href="https://himalayas.app/companies/webflow">Webflow</a> processes your personal information, please review </em><em><a href="https://himalayas.app/companies/webflow">Webflow</a>’s Applicant Privacy Notice</em><em>. </em></p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior Staff Machine Learning Scientist, Assets

<p>We are seeking a skilled Educational Data Analyst to join our dynamic team. This role involves direct interaction with school district administrators to understand their data analysis needs and challenges. The ideal candidate will be responsible for designing, implementing, and maintaining custom data dashboards while managing and updating data integrations. This role will report to the Head of Data Science.</p><h3>Why you’ll love this role:</h3><ul>
<li>Engage with school district leaders and educators to understand their data analytics needs and to educate diverse stakeholders on how to effectively use the dashboards to interpret data.</li>
<li>Design and develop customized metrics and dashboards.</li>
<li>Utilize SQL for database management and queries, ensuring accurate and accessible data solutions.</li>
<li>Provide ongoing support and maintenance for the data dashboards by troubleshooting, diagnosing, and resolving platform and data quality issues to ensure reliable reporting and effective data modeling.</li>
<li>Collaborate with data scientists, engineers, and Product to enhance the data platform.</li>
</ul><h3>Why you’re a great fit:</h3><ul>
<li>Experience in working with educational data and familiarity with K-12 schools.</li>
<li>Experience working with data visualization tools and dashboard design.</li>
<li>Ability to translate complex data into digestible and actionable information.</li>
<li>Advanced SQL skills.</li>
<li>Experience working independently on projects.</li>
<li>Excellent communication and interpersonal skills.</li>
<li>Passion for education and improving educational outcomes.</li>
<li>+4 years of experience as a data analyst, data engineer, or similar role.</li>
<li>Nice to Have: Experience with Python for data cleaning, analysis, and automation.</li>
<li>Nice to Have: Experience working with a K12 Student Information System such as Infinite Campus, PowerSchool, Skyward, or Aeries.</li>
</ul><h3>Why you’ll love working at <a href="https://himalayas.app/companies/newsela">Newsela</a>:</h3><ul>
<li>
<strong>Health &amp; Wellness:</strong> Comprehensive medical benefits with employer contribution to premiums and to HSA accounts. Additional benefits such as gym reimbursement, pet insurance, free access to the Calm app, Rocket Lawyer and more to help you stay healthy: mind, body, and soul. </li>
<li>
<strong>Work From Home: </strong>We are a fully remote company. We provide a monthly tech stipend to support your WFH needs!</li>
<li>
<strong>Supporting ALL Families:</strong> Inclusive benefits to support you and your family, including parental leave, fertility support, adoption, and more! </li>
<li>
<strong>Financial Wellbeing:</strong> Invest in your future with our 401(k) plan, which includes a employer match to help you build long-term financial security.</li>
<li>
<strong>Time Off: </strong>Flexible PTO, paid sick time off, company holidays plus winter break (Dec 24th - Jan 1st).</li>
<li>
<strong>Professional Development:</strong><a href="https://himalayas.app/companies/newsela">Newsela</a> offers an annual learning and development allowance to employees to attend external training sessions, classes, workshops, conferences, and educational materials to foster professional growth within their current role and career aspirations at <a href="https://himalayas.app/companies/newsela">Newsela</a>.</li>
<li>
<strong>Make A Difference:</strong> No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.</li>
</ul><h3><strong>About <a href="https://himalayas.app/companies/newsela">Newsela</a>:</strong></h3><p><a href="https://himalayas.app/companies/newsela">Newsela</a> is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, <a href="https://himalayas.app/companies/newsela">Newsela</a>’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.</p><div class="content-pay-transparency"><div class="pay-input">
<div class="description"><p>Final compensation will be determined based on the candidate’s individual skills, qualifications, and experience. Total compensation for this role also includes incentive stock options and benefits. </p></div>
<div class="title">Base Compensation Range</div>
<div class="pay-range">$110,000—$120,000 USD</div>
</div></div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Educational Data Analyst

<div>
<p style="line-height: 1.2; margin-top: 12pt; margin-bottom: 12pt;"><span style="font-size: 10pt; font-family: Poppins, sans-serif;">The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.</span></p>
<p style="line-height: 1.2; margin-top: 12pt; margin-bottom: 12pt;"><span style="font-size: 10pt; font-family: Poppins, sans-serif;">Growlithe is a fast-moving squad within Spotify's Conversation Product Area, focused on bringing emerging Search and agentic experiences to life. We explore, define, build, validate, and optimize new ideas to help listeners discover the content they love. Our work spans personalized Search, music video discovery and ranking, audiobook Search expansion, and the foundations of more social Search experiences.</span></p>
<p style="line-height: 1.2; margin-top: 12pt; margin-bottom: 12pt;"><span style="font-size: 10pt; font-family: Poppins, sans-serif;">We're looking for a Senior Machine Learning Engineer to help shape the next generation of Search at Spotify. You'll work at the intersection of machine learning, personalization, and product development, turning complex challenges into intuitive discovery experiences for millions of listeners.</span></p>
</div><h3>What You&#x27;ll Do</h3>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Build and improve machine learning models that make Spotify Search more relevant, personalized, and engaging for listeners.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Develop and optimize ranking and backend retrieval systems that help listeners discover music, videos, audiobooks, and other content.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Explore emerging AI and agentic approaches to create more intuitive and conversational Search experiences.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Design, implement, and evaluate machine learning solutions, taking ideas from early experimentation through production.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Partner with engineers, product managers, designers, and researchers to identify opportunities and deliver meaningful improvements to Search.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Use experimentation, data analysis, and performance metrics to understand model behavior, validate hypotheses, and improve the listener experience.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Contribute to scalable machine learning infrastructure and engineering practices that support reliable, high-quality Search experiences.</span></li>
<li style="line-height: 1.2;"><span style="font-size: 10pt;">Share knowledge, challenge assumptions constructively, and help shape the technical direction of machine learning within the squad.</span></li>
<h3>Who You Are</h3><div>

<li>You have experience building, deploying, and improving machine learning systems in production environments.</li>
<li>You have a strong understanding of machine learning approaches for information retrieval, search ranking, recommendation systems, or personalization.</li>
<li>You are proficient in Python and comfortable working with modern machine learning frameworks and data processing tools.</li>
<li>You have experience and a desire to lean into backend engineering at Spotify scale.</li>
<li>You understand how to design and evaluate experiments, interpret model performance, and translate technical findings into product improvements.</li>
<li>You have experience working with large-scale datasets and understand the challenges of building reliable, scalable machine learning systems.</li>
<li>You are curious about emerging AI technologies, including large language models and agentic systems, and interested in their potential to improve discovery experiences.</li>
<li>You enjoy working across disciplines, communicating technical ideas clearly, and learning from different perspectives.</li>
<li>You are comfortable navigating ambiguity, taking ownership of complex challenges, and balancing experimentation with practical delivery.</li>

</div><h3>Where You&#x27;ll Be</h3><div>

<li>This role is based in Eastern Standard Time</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.</li>

</div><div>
<p data-pm-slice="1 1 []">The United States base range for this position is 184,049–262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.</p>
</div><div><br></div><div><span style="font-size: 11pt;">Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.</span></div>
<div>&nbsp;</div>
<div><span style="font-size: 11pt;">At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.</span></div>
<div>&nbsp;</div>

Senior Machine Learning Engineer, Personalization

<div class="content-intro"><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</p></div><p><strong>About Pinterest</strong></p>
<p>Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping users make their lives better in the positive corner of the internet.</p>
<p><em>Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our&nbsp;</em><a href="https://www.pinterestcareers.com/pinflex/"><em>PinFlex</em></a><em> landing page to learn more.&nbsp;</em></p>
<p><strong>Staff Machine Learning Engineer, Applied Science&nbsp;</strong></p>
<p>As part of <a href="https://www.pinterestlabs.com/">Pinterest Labs</a>, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers. In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions.&nbsp; You will conduct research that directly applies across Pinterest engineering teams, engage in external collaborations and mentoring, and perform research in the intersection of recommendation systems, LLMs, VLMs, and reinforcement learning.</p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search.</li>
<li>Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale. Identify timelines and obtain resources needed.</li>
<li>Identify new and upcoming research opportunities by interacting with external and internal collaborators. Own long-term research strategy and plans to expand the impact of Applied Science.</li>
<li>Act as a technical leader in the applied AI space. <strong>p</strong>artner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact.</li>
</ul>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>MS/PhD in Computer Science, or equivalent industry experience</li>
<li>Minimum 6 years of relevant industry experience</li>
<li>Hands-on experience with large-scale recommendation system and reinforcement learning applications; experience with LLM/VLM post-training is a plus</li>
<li>Technical leadership and experience in driving ambiguous research problems into production deliverables</li>
<li>Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)</li>
<li>Cross-functional collaborator and strong communicator</li>
</ul>
<p>&nbsp;</p>
<p><strong>In-Office Requirement Statement:</strong></p>
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</li>
</ul>
<p>&nbsp;</p>
<p><strong>Relocation Statement:</strong></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li>
</ul>
<p>#LI-REMOTE<br><span data-sheets-root="1">#LI-DM57</span></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>
<p><em><span style="font-weight: 400;">Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</span></em></p></div><div class="title">US based applicants only</div><div class="pay-range"><span>$227,871</span><span class="divider">&mdash;</span><span>$469,147 USD</span></div></div></div><div class="content-conclusion"><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete&nbsp;<a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.</div>
<div>&nbsp;</div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

Staff Machine Learning Engineer

<div class="content-intro"><p><strong>We're transforming the grocery industry</strong></p>
<p><span class="im">At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.</span></p>
<p>Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.</p>
<p><strong>Instacart is a Flex First team </strong></p>
<p>There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. <a href="https://www.instacart.careers/flex-first" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://instacart.careers/remote/&amp;source=gmail&amp;ust=1651869232122000&amp;usg=AOvVaw37OlxP8hAKN7nq4YwHQH7e">Learn more about our flexible approach to where we work.</a></p></div><h2>Why this role is on the menu</h2>
<p>The Senior Financial Insights Analyst sits at the center of Instacart's Finance organization, with a mandate to identify and close areas of P&amp;L leakage through rigorous financial and transactional data analysis and compelling narratives that drive action.&nbsp;</p>
<p>&nbsp;</p>
<p>The team works through invoice challenges with retailers and serves as experts in the broader Instacart financial ecosystem. Invoicing retailers correctly is a key operational responsibility that impacts financial success and builds trust with retailer partners.&nbsp;</p>
<p>&nbsp;</p>
<p>This is a highly visible, high-impact role for someone who is relentlessly optimistic, eager to learn, and excited about combining deep financial expertise with AI and automation tools. We are looking for a great team member who helps carry the culture and gets things done in a no-ego way.</p>
<p>&nbsp;</p>
<h2>What you'll cook up in your first year</h2>
<ul>
<li>P&amp;L leakage is identified and closed through rigorous analysis of Instacart's financial and transactional data.&nbsp;</li>
<li>AI and automation tools are used to build and maintain alerting capabilities that surface issues in real time.</li>
<li>An expert-level understanding of Instacart's marketplace data, reporting capabilities, and invoicing processes is developed and applied. Invoice challenges are diagnosed, retailer partnerships are leveraged to resolve them, and financial outcomes improve as a result.</li>
<li>Complex datasets from multiple systems are connected and analyzed using advanced SQL, Excel or Google Sheets, and Python. Findings are synthesized into clear, visually compelling narratives and presented to internal and external stakeholders via Google Slides or PowerPoint.</li>
<li>Strong stakeholder relationships are maintained internally and externally. Time is continuously prioritized toward the highest-impact problems, with ambiguous challenges deconstructed into efficient, high-quality approaches to resolution.</li>
</ul>
<p>&nbsp;</p>
<h2>The secret ingredients we're looking for</h2>
<p><strong>Must-have pantry staples (Minimum Qualifications)</strong></p>
<ul>
<li>5+ years of experience in Strategic Finance, FP&amp;A, Investment Banking, Private Equity, or Management Consulting supporting commercial deals or growth initiatives in technology, e-commerce, marketplace, logistics, or retail</li>
<li>Bachelor’s degree in Finance, Economics, Accounting, Business, or a related quantitative field (or equivalent practical experience)</li>
<li>Strong analytical and technical skills; a strong understanding of data and how to structure it to get at the answers we need efficiently</li>
<li>Ability to craft compelling narratives and identify the insights that are most impactful in answering the key questions</li>
<li>Ability to combine insights into an easy to understand, visually appealing story that helps convince retailers to take action</li>
<li>Ability to connect large data sets from multiple systems and establish real-time alerting capabilities</li>
<li>Experience with Powerpoint / Google Sides</li>
<li>Experience writing advanced SQL queries</li>
<li>Ability to deal with ambiguity; the ability to quickly deconstruct a problem into its most important components, have a good sense of where digging deeper will likely yield results, and coming up with an efficient and high quality approach to solving the problem</li>
</ul>
<p>&nbsp;</p>
<p><strong>Optional garnishes (Preferred Qualifications)</strong></p>
<ul>
<li>2+ years of experience applying AI solutions to a specific business vertical such as e-commerce, FinTech, or two- or three-sided marketplaces</li>
<li>Experience with marketplace or retailer/CPG partnerships, multi-sided platform economics, and/or merchant POS data analysis</li>
<li>Hands-on collaboration with Sales or Account Management on deal terms and partner economics</li>
<li>Experience in Investment Banking or Consulting</li>
</ul>
<p>#LI-Remote</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-weight: 400;">Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy </span><a href="https://instacart.careers/flex-first/" target="_blank">here</a>.</p>
<p><span style="font-weight: 400;">Offers may vary based on many factors, such as candidate experience and skills required for the role. </span><span style="font-weight: 400;">Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please rea</span><span style="font-weight: 400;">d more about our benefits offerings </span><a href="https://instacart.careers/taste-of-instacart/" target="_blank"><span style="font-weight: 400;">here</span></a><span style="font-weight: 400;">. <br><br></span><span style="font-weight: 400;">For US based candidates, the base pay ranges for a successful candidate are listed below.</span></p></div><div class="title">CA, NY, CT, NJ</div><div class="pay-range"><span>$152,000</span><span class="divider">&mdash;</span><span>$160,500 USD</span></div></div><div class="pay-input"><div class="title">WA</div><div class="pay-range"><span>$146,000</span><span class="divider">&mdash;</span><span>$154,000 USD</span></div></div><div class="pay-input"><div class="title">OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI</div><div class="pay-range"><span>$140,000</span><span class="divider">&mdash;</span><span>$147,500 USD</span></div></div><div class="pay-input"><div class="title">All other states</div><div class="pay-range"><span>$127,000</span><span class="divider">&mdash;</span><span>$134,000 USD</span></div></div></div>

Senior Financial Insights Analyst

<h3><strong>Company Overview</strong></h3>
<p><a href="https://jobicy.com/company/deepgram" target="_blank" rel="noopener">Deepgram</a> is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.</p>

<h3><strong>Company Operating Rhythm</strong></h3>
<p>At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.</p>
<p>Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.</p>
<p>Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.</p>

<p>Deepgram is looking for a Data Scientist to sit at the intersection between research and data: people who think deeply about what conversational data is actually composed of, what makes data valuable, and how to best leverage that.</p>
<p>Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. Speech carries speakers, accents, dialects, emotion, overlapping talk, code-switching, domain vocabulary, and acoustic conditions that range from a quiet studio to a drive-through — all with rich context that moves the conversation. In this role you'll collaborate closely with our research, engineering, and data teams to answer those questions rigorously and at scale. You'll care deeply about what makes conversational data difficult, you'll characterize it, and you'll shape the strategies that turn it into model gains. This role rewards conviction, creativity in approach, and a real appetite for overturning your own assumptions when the data says otherwise.</p>
<p>This is a hands-on, high-leverage role with unusual latitude to define an area from first principles. It reports to the VP of Data Operations. We're looking for people who:</p>
<ul>
<li>
<p>See "we've always done it this way" as a starting position to argue with, not a constraint to work around</p>
</li>
<li>
<p>Can find the one experiment that settles a question in days rather than months</p>
</li>
<li>
<p>Are creative about where signal hides — in metadata, in model confidence, in the failures</p>
</li>
<li>
<p>Have the vision to take a scrappy proof-of-concept and scale it 100x</p>
</li>
<li>
<p>Are obsessed with using AI to automate and amplify their own impact</p>
</li>
</ul>
<h3>What You'll Own</h3>
<ul>
<li>
<p><strong>Understand and characterize our data.</strong> Build the analysis that tells us what we actually have — languages, conditions, domains, speakers, quality — and what's underrepresented.</p>
</li>
<li>
<p><strong>Design and build active-learning loops.</strong> Decide what's worth working on next based on where it will move performance, and make that decision systematic rather than intuitive.</p>
</li>
<li>
<p><strong>Think deeply about how to best leverage humans in the loop.</strong> Human attention is the scarcest input in this system. Design the workflows, tooling, and model-assisted steps that make it count.</p>
</li>
<li>
<p><strong>Make representative benchmarking possible.</strong> Build the curated datasets and methodology that let us make honest claims about model quality across the full diversity of real-world speech.Senior</p>
</li>
<li>
<p><strong>Change our minds about what data strategies actually work.</strong> Run the experiments that separate what works from what everyone assumes works.</p>
</li>
<li>
<p><strong>Care about data consistency, cleanliness, and organization</strong> — and about making data legible and accessible to non-technical teams, not just to the people who built the pipelines.</p>
</li>
<li>
<p><strong>Bring method and automation to model adaptation.</strong> Turn one-off, domain- and customer-specific model work into repeatable, documented pipelines.</p>
</li>
</ul>
<h3>What We're Looking For</h3>
<ul>
<li>
<p>Hands-on work on real data pipelines and model-facing problems in data science, ML, or applied research</p>
</li>
<li>
<p>Strong Python and data tooling; comfort building analysis, scoring, and automation yourself</p>
</li>
<li>
<p>Experience with data characterization, data selection, active learning, or similar "what should we work on next" problems</p>
</li>
<li>
<p>Working familiarity with speech/audio or NLP models — you can reason about model output quality, confidence, and error modes</p>
</li>
<li>
<p>A track record of turning ambiguous, messy data situations into measurable model or product improvements</p>
</li>
<li>
<p>You build systems others run without you in the room — a reusable harness, not a one-off notebook</p>
</li>
<li>
<p>Strong communication skills, especially translating complex findings for audiences who don't share your background</p>
</li>
<li>
<p>An active AI-tool user. Not aspirational — tell us what you use and what you've built with it</p>
</li>
</ul>
<p><strong>It would be great if you also had:</strong></p>
<ul>
<li>
<p>Direct experience with ASR/TTS, audio data, or multilingual/code-switched data.</p>
</li>
<li>
<p>Experience with ensemble labeling, pseudo-labeling, or LLM-assisted annotation.</p>
</li>
<li>
<p>Familiarity with data provenance, PII/GDPR-aware pipelines, or model-improvement compliance.</p>
</li>
<li>
<p>Experience building custom or fine-tuned models for specific customers or domains.</p>
</li>
<li>
<p>Comfort working directly with research and engineering teams on shared infrastructure.</p>
</li>
</ul>
<p>Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!</p>

<p>Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.</p>

<p>We are happy to provide accommodations for applicants who need them.</p>
<p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href="http://deepgram.com" rel="nofollow ugc noopener" target="_blank"><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.</em></p>

Senior Data Scientist, Audio

<h3><strong>Data Scientist, AI/ML</strong></h3><h3><strong>Job Description:</strong></h3><p>Today’s complex, fast-paced systems have become a minefield of reliability risks, any of which could cause an outage that costs millions and destroys customer confidence. That’s why high-availability teams use <a href="https://himalayas.app/companies/gremlin">Gremlin</a> to find and fix reliability risks before they become incidents.</p><p><a href="https://himalayas.app/companies/gremlin">Gremlin</a> Reliability Platform helps software teams proactively monitor and test their systems for common reliability risks, build and enforce reliability standards, and automate their reliability practices organization-wide. As the industry leader in Chaos Engineering and reliability testing, we work with hundreds of the world’s largest organizations where high availability is non-negotiable.</p><h3><strong>About the Role of the Data Scientist, AI/ML</strong></h3><p>As a Data Scientist, AI/ML at <a href="https://himalayas.app/companies/gremlin">Gremlin</a>, you will have the opportunity to improve the reliability of the internet at large by turning millions of chaos engineering experiments into automated failure analysis and remediation. You will be able to leverage your applied machine learning experience to inform product direction as well as solve complex technical problems that directly impact our customers (which range from the Fortune 500 to smaller organizations). You will work closely with a small, talented engineering team focused on quality, delivery, and predictability with an emphasis on providing our customers a great user experience.</p><h3><strong>In this role, you’ll get to:</strong></h3><ul>
<li>Analyze <a href="https://himalayas.app/companies/gremlin">Gremlin</a>’s proprietary dataset of millions of chaos engineering experiments to identify failure patterns, root causes, and resilience signals across complex distributed systems</li>
<li>Pretraining and fine-tuning machine learning models that automatically detect, classify, and explain failures observed during chaos experiments</li>
<li>Build intelligent systems that deliver automated remediation recommendations, and eventually orchestration, by learning from historical experiment outcomes and system behavior</li>
<li>Develop scalable data pipelines and feature stores to process, enrich, and serve large volumes of experiment data for both model training and real-time inference</li>
<li>Collaborate closely with platform engineers and SREs to integrate AI-driven failure analysis and remediation capabilities directly into <a href="https://himalayas.app/companies/gremlin">Gremlin</a>’s core product</li>
<li>Apply advanced techniques, including causal inference, graph ML, time-series modeling, and reinforcement learning, to continuously improve the accuracy and actionability of automated failure analysis</li>
<li>Translate insights from millions of chaos experiments into AI-powered features that help customers automatically understand blast radius, pinpoint root causes, and accelerate recovery</li>
<li>Research and productionize novel ML approaches, including causal AI and agentic systems, that turn raw chaos experiment data into automated, reliable remediation strategies</li>
</ul><h3><strong>We’ll expect you to have:</strong></h3><ul>
<li>Experience as a self-driven and collaborative problem solver with strong communication skills</li>
<li>5+ years professional experience building and productionizing machine learning, ideally for distributed systems, infrastructure, or DevOps and SRE use cases with more overall years of experience in software development. </li>
<li>Hands-on experience with techniques such as causal inference, graph ML, time-series modeling, or reinforcement learning</li>
<li>Experience building data pipelines and feature stores that support both offline training and real-time inference</li>
<li>Experience with agile development environments and practices</li>
<li>Strong advocate and practitioner of rigorous experimentation, model evaluation, and engineering best practices</li>
<li>Comfort partnering with platform engineers and SREs to turn research into shipped product features</li>
<li>Strong at breaking down ambiguous problems into concrete actions and milestones</li>
</ul><h3><strong>Bonus Experience:</strong></h3><ul>
<li>Experience with chaos engineering, site reliability engineering, or distributed systems</li>
<li>Background in agentic AI systems or large-scale causal inference in production</li>
<li>Experience standing up MLOps tooling such as model serving, monitoring, or feature store infrastructure</li>
<li>Working in Remote first environments</li>
<li>Has been on-call and participated in an incident management program</li>
</ul><p><em>*The role does not offer sponsorship employment benefits.</em></p><p><em>**If you don’t think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.</em></p><h3>Compensation</h3><p>We expect the salary range for this role to be $220,000 - $290,000. We recognize that salary varies from person to person depending on level of experience and we welcome direct conversations about it. The final offer will vary based on assessment of a candidate's skills and ability and our budget and market data. </p><p><a href="https://himalayas.app/companies/gremlin">Gremlin</a> offers competitive total compensation packages including 401k Matching, Equity and other benefits such as flexible time off and paid company holidays. </p><h3><strong>About <a href="https://himalayas.app/companies/gremlin">Gremlin</a>:</strong></h3><p><a href="https://himalayas.app/companies/gremlin">Gremlin</a> is a team of industry veterans and people eager to learn from one another. We set the standard for reliability and equip leading organizations with the mindset and expertise needed to drive reliability improvements that move the world forward. We’re backed by top-tier investors Index Ventures, Amplify Partners, and Redpoint Ventures. Our customers love us, and we’re thrilled to be a partner in their success.</p><h3><strong>What Do We Care About:</strong></h3><h3>We Care about our People</h3><p>People are our critical differentiators. The company strives to treat our people with respect, empathy, and dignity. We expect that our people will treat each other similarly. In both cases, we will assume good intent. All are welcome at <a href="https://himalayas.app/companies/gremlin">Gremlin</a>. We know our differences make us stronger and that our best ideas and contributions can come from anyone at any level.</p><h3>We Care about Collaboration</h3><p><a href="https://himalayas.app/companies/gremlin">Gremlin</a> is strongest when we come together as one team with shared goals. Be the glue, not the glitter. But as a remote company, teamwork and collaboration won’t happen by accident. We approach every challenge as a shared challenge. We rely on each other for diverse perspectives and creative ideas. We celebrate our wins as a team.</p><h3>We Care about Results</h3><p>Be high productivity, low drama. Results matter. To keep our pace, everyone owns the outcomes of their actions and takes action when needed. We reward speed over perfection. We empower each other to iterate and experiment. You are welcome at <a href="https://himalayas.app/companies/gremlin">Gremlin</a> for who you are. The more voices and ideas we have represented in our business, the more we will all flourish, contribute, and build a more reliable internet.</p><p><a href="https://himalayas.app/companies/gremlin">Gremlin</a> is a place where everyone can grow and is encouraged. However you identify and whatever background you bring with you, please apply if this sounds like a role that would make you excited to come into work everyday. It’s in our differences that we will find the power to keep building a more reliable internet by building and designing tools used by the best companies in the world.</p><p>Visit our website to learn more - </p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Data Scientist, AI/ML

<div>
<p>We're looking for a <strong>Social Insight Analyst</strong> with real pharma or healthcare advertising experience to join our analytics team. You'll dig into social media performance, campaign effectiveness, and social listening insights to help shape strategy and improve outcomes for our healthcare and life sciences clients.</p>
<p>This isn't a role where you're learning the regulated landscape on the job,  we need someone who already understands how therapeutic context, audience sensitivity, and brand nuance shape what the data actually means.</p>
<p>You'll report to the <strong>Head of Analytics </strong>and work closely with account, content, and strategy teams to make sure every campaign decision is backed by clear, credible insight.</p>
<h3>Responsibilities:</h3>
<ul><div>
<li><p>Use social listening tools such as Brandwatch, Sprout Social, Talkwalker, or Sprinklr to monitor online conversations and audience trends across healthcare and pharma audiences</p></li>
<li><p>Analyze sentiment, audience behavior, content performance, and emerging trends to uncover insights that are actually actionable,  not just observational</p></li>
<li><p>Build and maintain clear, visually engaging dashboards for internal teams and client-facing stakeholders</p></li>
<li><p>Translate data into strategic recommendations that improve targeting, messaging, channel effectiveness, and campaign performance</p></li>
<li><p>Partner with account managers, content creators, and strategy teams to support data-driven decision-making throughout campaign planning and execution</p></li>
<li><p>Research emerging trends in social media, digital marketing, and audience behavior specific to healthcare and pharma to inform client strategy</p></li>
<li><p>Support reporting deliverables across channels, understanding data structure, tagging, measurement strategy, and reporting requirements</p></li>
<li><p>Ensure reporting accuracy, consistency, and clarity across all analytics deliverables</p></li>
<li><p>Gather, process, and interpret data from Facebook, Instagram, LinkedIn, X/Twitter, and other relevant channels</p></li>
<li><p>Develop regular and ad hoc reports evaluating campaign performance against KPIs</p></li>
</div></ul>
<h3>Requirements:</h3>
<ul>
<li><p><strong>2–4 years of experience in marketing analytics within the pharmaceutical or healthcare advertising sector, agency-side pharma experience strongly preferred</strong></p></li>
<li><p>Comfort with the regulated nature of pharma marketing, including awareness of how MLR and compliance considerations shape content and messaging</p></li>
<li><p>Experience analyzing performance across social media platforms including Meta, LinkedIn, X/Twitter, and Instagram</p></li>
<li><p>Proficiency with social media analytics tools, including Meta Business Suite, LinkedIn Analytics, X/Twitter Analytics, or similar</p></li>
<li><p>Experience with social listening platforms such as Brandwatch, Talkwalker, Sprinklr, or Sprout Social</p></li>
<li><p>Advanced proficiency in Excel and/or Google Sheets</p></li>
<li><p>Experience with data visualization tools such as Tableau, Power BI, or Looker Studio</p></li>
<li><p>Familiarity with Google Analytics or other web analytics tools is a plus</p></li>
<li><p>Strong ability to interpret data and translate findings into clear, actionable recommendations</p></li>
<li><p>Excellent written and verbal communication skills — you can present insights in a way that's compelling and accessible to non-analytical stakeholders</p></li>
<li><p>Strong attention to detail and a commitment to reporting accuracy</p></li>
<li><p>Collaborative mindset with the ability to thrive in a fast-paced, client-focused environment</p></li>
</ul>
<div>
<p>Interested in working with us? Apply online today. </p>
<h3>Not an agency*</h3>
<p>The layer-laden teams. The prehistoric processes. The impersonal, ego-driven dog-and-pony shows. Take what you think you know about agencies and burn it. P10 was born of the idea that if something isn’t working—or could work better—change it. And that’s exactly what we did. We know that what we’re not makes us who we are. And we’re not just another agency. We are people driven by a palpable passion and purpose, felt by our clients from the very first conversation.  </p>
<p>P10 brings together a team of diverse, remote-only seasoned professionals to deliver exceptional value for our clients. Dare to do something different - join us.</p>
</div>
</div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Social Insights Analyst (Healthcare)

<div class="content-intro"><p>Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halo<sup>tm</sup> Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the "backbone of our economy" into the automation age.</p></div><p><strong>This position requires candidates to be authorized to work in the US on an ongoing basis without current or future employer sponsorship. We are unable to sponsor or transfer H-1B or other employment-based visas, and candidates currently on F-1, OPT, STEM OPT status are not eligiable for this role.</strong></p><h3>Your Role</h3><p>As a Hardware Data Analyst, you will harness vast amounts of data streaming from our extensive deployment of telematics and IoT devices in the field. Your work will directly impact our hardware systems' performance, reliability, and efficiency, helping deliver exceptional customer experiences. Collaborating with engineering, product management, data science, and customer support teams, you will process and analyze sensor and analytics data to uncover insights, identify issues, and drive continuous improvement.</p><h3>Your Responsibilities</h3><ul>
<li>Design and deliver dashboards, reports, and presentations using tools like QuickSight, Tableau, or Python libraries to visualize performance metrics and communicate findings effectively.</li>
<li>Continuously monitor and analyze incoming sensor and analytics data to identify trends, anomalies, and potential issues in the field.</li>
<li>Use statistical models and machine learning techniques to extract insights and generate actionable recommendations for hardware reliability and performance improvements.</li>
<li>Compare outputs from various firmware versions to validate improvements or detect unexpected regressions.</li>
<li>Collaborate with hardware engineers, product managers, and data scientists to define and execute data analysis strategies.</li>
<li>Support customer support teams by providing data-driven insights to address product performance and anomaly-related inquiries.</li>
<li>Proactively identify and propose new tools, methods, or processes to enhance data analysis capabilities and improve operational efficiency.</li>
<li>Collaborate with the engineering and data science teams to design and implement data pipelines that ensure reliable ingestion, processing, and storage of large-scale field data.</li>
<li>Act as a data advocate within the organization, ensuring teams have the necessary data access and tools to make informed decisions.</li>
<li>Collaborate with product development teams to ensure field data is incorporated into the design of future hardware and software features.</li>
</ul><h3>Skills/Qualifications</h3><ul>
<li>Bachelor’s degree in Data Science, Computer Science, or a related field.</li>
<li>2-4 years of experience in data analysis, with exposure to hardware-related roles or IoT systems preferred.</li>
<li>Proficiency in Python, SQL, MATLAB, or Excel for data analysis and modeling.</li>
<li>Demonstrated experience with visualization tools like Quicksight, Tableau, Streamlit, or Looker.</li>
<li>Strong understanding of statistical modeling, machine learning, and time-series data analysis.</li>
<li>Experience with cloud platforms like AWS (S3, Redshift, Kinesis, IoT Core) or similar is a plus.</li>
<li>Strong problem-solving and analytical skills, with the ability to translate data findings into actionable insights.</li>
<li>Excellent communication skills to present complex data in a clear, concise manner to technical and non-technical stakeholders.</li>
</ul><h3>Pay Range: $95,000 - $123,000</h3><p>*Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.</p><p>**Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.</p><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Hardware Data Analyst - Remote

<p><em><strong>** This is a remote contract position that goes through April 30th, 2027 with potential to extend. ** </strong></em></p><p>Our client is seeking a <strong>Marketing Analytics &amp; Insights Analyst</strong> to help build a predictable, efficient, and scalable growth engine. This role is responsible for transforming marketing data into actionable insights that drive smarter decisions across demand generation, pipeline performance, segmentation, customer engagement, and marketing investment.</p><p>As a key partner to marketing leadership, you will own complex analytical initiatives end-to-end, design scalable measurement frameworks, and deliver insights that improve marketing performance and business outcomes. Success in this role requires a blend of analytical rigor, business acumen, and storytelling skills, with the ability to translate complex data into clear recommendations that influence strategy and execution.</p><p>Our team fosters a culture of curiosity, continuous learning, collaboration, and accountability. We invest in developing our people and empowering marketers with the insights, tools, and knowledge needed to accelerate business growth.</p><h3>Expectations &amp; Tasks</h3><ul>
<li>Collaborate with marketing stakeholders to business objectives, define measurement strategies, and translate requirements into scalable analytics solutions.</li>
<li>Identify progress or gaps to monthly, quarterly goals and annual goals, proactively identifying risks, opportunities, and key drivers impacting performance.</li>
<li>Design, develop, and continuously enhance reporting frameworks, dashboards, and analytical models to support growth planning, forecasting, funnel optimization, and pipeline management.</li>
<li>Lead cross-channel performance analysis and attribution initiatives to evaluate marketing effectiveness, optimize investment decisions, and improve ROI.</li>
<li>Generate actionable insights and recommendations that improve customer engagement, buying experiences, conversion rates, and channel efficiency.</li>
<li>Translate complex analyses into compelling executive-ready narratives through effective data visualization, reporting, and storytelling.</li>
<li>Establish and maintain KPI definitions, measurement standards, and documentation to ensure consistency and trust in reporting.</li>
<li>Partner with Marketing Intelligence, Strategy, Technology, and Automation teams to improve data quality, segmentation, reporting capabilities, and measurement methodologies.</li>
<li>Influence business decisions through regular engagement with regional and global marketing leaders, including participation in business reviews and planning processes.</li>
<li>Gather stakeholder feedback, identify gaps or opportunities, and recommend solutions that improve operational effectiveness and business outcomes.</li>
<li>Support alignment and enablement across global and regional marketing teams to drive consistency in reporting and analytics practices.</li>
</ul><h3>Requirements</h3><ul>
<li>Bachelor's degree and 8-10 years of experience in marketing analytics, business intelligence, marketing operations, or a related field.</li>
<li>Ability to think in the abstract and understand the intricacies of a complex system and proficiently demonstrate ability to work with multiple and large datasets. </li>
<li>Advanced proficiency in SQL, Excel, Tableau, SAP Analytics Cloud, or similar business intelligence and analytics platforms.</li>
<li>Experience developing predictive, forecasting, optimization, or propensity models to support marketing and business growth objectives.</li>
<li>Strong understanding of marketing performance measurement, demand generation, pipeline management, attribution methodologies, and funnel analytics.</li>
<li>Deep familiarity with CRM and marketing data structures, including leads, contacts, accounts, opportunities, and campaign data.</li>
<li>Experience leveraging AI-enabled analytics capabilities to enhance reporting, insight generation, and decision-making while ensuring responsible and effective use.</li>
<li>Exceptional communication and storytelling skills, with the ability to simplify complex concepts for both technical and non-technical audiences. Executive presentation experience preferred.</li>
<li>Demonstrated success influencing stakeholders and driving alignment across cross-functional teams.</li>
<li>Strong project management and prioritization skills, with the ability to manage multiple initiatives and deliver results in a fast-paced environment.</li>
<li>Naturally curious, proactive, and committed to staying current on emerging analytics technologies, marketing trends, and industry best practices.</li>
<li>Proven ownership mindset with a strong bias toward action, continuous improvement, and measurable business impact.</li>
<li>Flexibility to collaborate across global teams and time zones, including engagement with colleagues in the EMEA and APJ regions.</li>
</ul><h3>Benefits</h3><p><strong>Compensation Range: </strong>$40-42/hr</p><p><em>** This pay range is Client-specific for the opening advertised. The identity of the Client will be disclosed if you are selected to move forward in the hiring process. **</em></p><h3>Benefits:</h3><ul>
<li>Employer contributions toward the cost of employee-only medical and dental premiums</li>
<li>Vision - opt-in available</li>
<li>401k</li>
<li>PTO</li>
<li>Life Insurance, Disability Insurance, AD&amp;D coverage</li>
<li>Short-term Disability, Accident, Cancer/Critical Illness, Pet insurance - opt in available</li>
</ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Marketing Analytics & Insights Analyst

<p><a href="https://jobicy.com/company/reddit" target="_blank" rel="noopener">Reddit</a> is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a href="http://www.redditinc.com/" rel="nofollow ugc noopener" target="_blank">www.redditinc.com</a>.</p>
<p><strong>Location: </strong>Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.</p>
<p>The <strong>Ads Foundational Representations (AFR)</strong> team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. </p>
<p>Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:</p>
<ul>
<li><strong>Multimodal &amp; Content Embeddings</strong> - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. </li>
<li><strong>Contextual and Behavioral Relevance </strong>- Working with Product &amp; Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.</li>
<li><strong>Knowledge Graph Embeddings - </strong>Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting &amp; business insights. </li>
<li><strong>User Intent Modeling -</strong> Leveraging various techniques to introduce user representations based on the content they interact with: batch &amp; real-time sequence modeling, LLM summarization, etc. </li>
<li><strong>LLM-based Representations</strong> - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes</li>
</ul>
<p>The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.</p>
<p>As a <strong>Staff ML Engineer</strong>, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. </p>
<p>Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy &amp; designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis &amp; engineering, modeling &amp; automation). </p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Providing technical leadership and mentorship to MLEs in the team: driving designs &amp; their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. </li>
<li>Working closely with team/org leadership developing technical strategy for content-based embeddings &amp; relevance for Ads.</li>
<li>Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. </li>
<li>Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. </li>
<li>Building data processing and inference pipelines for the models we develop. </li>
<li>Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. </li>
<li>Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.</li>
<li>Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.</li>
<li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li>
</ul>
<p><strong>Required Qualifications:</strong></p>
<ul>
<li>7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.</li>
<li>Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. </li>
<li>Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. </li>
<li>Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. </li>
<li>Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. </li>
<li>Familiarity with the Ads domain and/or Search/Recommender systems.</li>
<li>Experience with mainstream DL frameworks: PyTorch or TensorFlow.</li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)</li>
<li>Tech leadership experience: mentoring junior engineers and leading complex projects. </li>
<li>Hands-on experience with using/fine-tuning/building LLMs.</li>
</ul>
<p><strong>Benefits:</strong></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Private Pension plan with Employer-matching</li>
<li>100% employer-sponsored group medical plan </li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul>
<p>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p>During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="nofollow ugc noopener" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</p>
<p><em>Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</em></p>

Staff Machine Learning Engineer, Ads Foundational Representations

<p><strong>Associate Research Scientist - RWE</strong></p>
<p>Are you looking to work with a dynamic team of industry leading professionals in the HEOR space? Is your passion leading Real World Evidence studies that improve healthcare outcomes worldwide? Our<strong> Real-World Evidence team is hiring an Associate Research Scientist </strong>to join our team of research professionals conducting real-world studies in the pharmaceutical and biotech space, operating as a thought leader, problem solver, and data expert.</p>
<p><strong>This is a fully remote position.</strong></p>
<p><strong>About You:</strong></p>
<ul>
<li>You have experience in the conduct of real-world studies, including data feasibility assessments, developing study protocols, analytic dataset creation, data analyses, and study reports.</li>
<li>You can perform data preparation and analyses independently and are comfortable making recommendations to the client and team members on study direction.</li>
<li>You can anticipate and identify considerations relevant to the implementation of various approaches, including potential facilitators of and barriers to successful project and task execution.</li>
</ul>
<p><strong>About The Role:</strong></p>
<p>As an Associate Research Scientist on the RWE team at Precision AQ, you will contribute to multiple projects comprised of cross-functional staff, serving as the analytics expert on the project. You will prepare and perform analyses of primary and secondary data, develop protocols and analysis plans, design RWE studies, and communicate study results internally and externally.</p>
<p><strong>Required Experience:</strong></p>
<ul>
<li>Master’s degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health</li>
<li>Proficiency in one or more of the following programming languages: R, Python, SQL, or SAS</li>
<li>0-2 years of relevant prior research experience, including research conducted for undergraduate or graduate programs</li>
<li>Ability to work effectively individually and as part of a diverse team</li>
</ul>
<p><strong>Helpful Experience:</strong></p>
<ul>
<li>Strong organizational skills, including the ability to meet deadlines and balance competing demands</li>
<li>Willingness and desire to learn and share knowledge</li>
<li>Excellent oral and written communication skills</li>
</ul>
<p>#LI-Remote</p>

<p>Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.</p>
<p>Reasonable estimate of the current range</p>
<p>$66,000—$94,000 USD</p>
<hr>
<p>Any data provided as a part of this application will be stored in accordance with our <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.precisionmedicinegrp.com%2Fprivacy-policy%2F&amp;data=05%7C01%7Czeta.larcon%40precisionmedicinegrp.com%7Cb58fe8b0c3ea4dd2e79d08db5bd09a25%7Cb71ff3f628164ca8a9b938f820f91ad1%7C0%7C0%7C638204723732367131%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=9DgboiHTFPrNYVhdKhyfdwVyNYwUvZbP%2FroLdWIIfxw%3D&amp;reserved=0" rel="nofollow ugc noopener" target="_blank">Privacy Policy.</a> For CA applicants, please also refer to our <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.precisionmedicinegrp.com%2Fca-applicants-privacy-notice%2F&amp;data=05%7C01%7Czeta.larcon%40precisionmedicinegrp.com%7Cb58fe8b0c3ea4dd2e79d08db5bd09a25%7Cb71ff3f628164ca8a9b938f820f91ad1%7C0%7C0%7C638204723732367131%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=tfAqqMZsG%2B11IchL45HFFVbfECCkYqQpNr0PQxrMFJU%3D&amp;reserved=0" rel="nofollow ugc noopener" target="_blank">CA Privacy Notice</a>.</p>
<p><a href="https://jobicy.com/company/precision-medicine-group" target="_blank" rel="noopener">Precision Medicine Group</a> is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.</p>
<p>If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at <a href="mailto:myHR@precisionmedicinegrp.com" rel="nofollow ugc noopener" target="_blank">myHR@precisionmedicinegrp.com</a>.</p>
<p><strong>Recruitment Fraud Warning: </strong>Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at <a href="mailto:myHR@precisionmedicinegrp.com" rel="nofollow ugc noopener" target="_blank">myHR@precisionmedicinegrp.com</a> so we can investigate and take appropriate action.</p>

Associate Research Scientist, Real World Evidence

<h3><strong>About the job</strong></h3><p><a href="https://himalayas.app/companies/nmi">NMI</a> is a leading provider of payment gateway solutions, specializing in card-present solutions and payment processing. Our innovative technologies empower businesses to securely accept payments and optimize transaction processes. With a focus on reliability, security, and innovation, we continuously push the boundaries of what's possible in the payments industry.</p><p>The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision-making. Reporting into the Revenue Operations organization, this role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development — and serves as a trusted reporting partner to teams across the business. You will work primarily within Revenue Operations while collaborating cross-functionally with Sales, Business and Technical Operations, Sales Enablement, Support, and Finance to get things done.</p><h3><strong>The Ideal Candidate</strong></h3><p>You bring strong analytical thinking, intellectual curiosity, and a commitment to accuracy. You enjoy connecting information across disparate systems, identifying meaningful patterns, and delivering insights that influence business decisions. The opportunity to build and own these capabilities during your first year is something you find energizing:</p><ul>
<li>Build and maintain the core revenue and customer-lifecycle reporting that gives sales and revenue leadership clear visibility into performance, trends, and health of the business</li>
<li>Develop and operationalize segmentation and predictive models in BigQuery ML that shape go-to-market targeting and account prioritization</li>
<li>Lead the migration of dashboards from legacy datasets and BI tools into Tableau, with documented data lineage and custom measures</li>
<li>Establish data quality and reconciliation practices that resolve entities across source systems and distinguish net-new from existing customers</li>
<li>Partner with teams across the organization to translate ambiguous, evolving requests into concrete reporting deliverables</li>
</ul><h3><strong>Key Responsibilities</strong></h3><ul>
<li>Deliver ad-hoc and recurring analyses supporting Sales, Business and Technical Operations (Salesforce Admins), Revenue, Sales Enablement, Support, and other internal teams, with minimal supervision</li>
<li>Produce core revenue and customer-lifecycle reporting — including month-to-date, quarter-to-date, and trailing-twelve-month metrics — with validation logic that reconciles outputs against source-of-truth figures</li>
<li>Author complex SQL in BigQuery using multi-CTE pipelines, window functions, user-defined functions, and array aggregation, and build reusable views for data aggregation and downstream consumption</li>
<li>Build and refine segmentation and clustering models in BigQuery ML, including feature engineering, look-alike discovery, and cluster profiling, and operationalize model output into actionable deliverables for go-to-market teams</li>
<li>Size addressable-market and ideal-customer opportunities by identifying accounts whose profile fits specific products, and quantify whitespace and upsell potential to support Sales Enablement and account prioritization</li>
<li>Perform entity resolution across multiple source systems using fuzzy matching, normalization, and confidence scoring, reconciling records across platforms</li>
<li>Develop and maintain Tableau dashboards for key business metrics, and lead migration from legacy datasets and BI tools with documented data lineage, custom measures, and visual mappings</li>
<li>Maintain current knowledge of data sources and ongoing data warehouse developments, adapting models and reporting as schemas and requirements change</li>
<li>Translate ambiguous and evolving requests from a wide range of stakeholders into concrete reporting specifications</li>
<li>Contribute to a culture of data discipline, continuous improvement, and analytical excellence across the Revenue Operations organization</li>
</ul><h3><strong>Skills &amp; Experience</strong></h3><ul>
<li>2–5 years of experience in data analysis, revenue operations analytics, business intelligence, or a similar analytical role</li>
<li>Strong SQL proficiency, with hands-on experience in BigQuery; familiarity with BigQuery ML a significant plus</li>
<li>Demonstrated experience building and maintaining dashboards in Tableau or comparable data visualization tools</li>
<li>Experience with data modeling and designing reusable views for aggregation and consumption</li>
<li>Familiarity with entity resolution and data quality techniques, including fuzzy matching and cross-platform reconciliation</li>
<li>Strong analytical skills with the ability to surface trends, identify gaps, and translate data into clear recommendations</li>
<li>Experience working with CRM data (Salesforce preferred) and revenue/go-to-market datasets</li>
<li>The ability to move fluidly between structured recurring reporting and ambiguous ad-hoc requests without losing rigor on either</li>
<li>Strong written and verbal communication skills with the ability to partner effectively across technical and non-technical stakeholders</li>
<li>Independent work ethic and comfort operating in a fast-paced environment where priorities and reporting requirements can shift</li>
</ul><h4><strong>As well as being a part of something exciting everyday, you will also receive the following benefits:</strong></h4><ul>
<li>Competitive salary + bonus </li>
<li>A remote first culture!</li>
<li>Flex PTO </li>
<li>Health, Dental and Vision Insurance</li>
<li>13 Paid Holidays</li>
<li>Company volunteer days</li>
</ul><h4><strong>What we do!</strong></h4><p><a href="https://himalayas.app/companies/nmi">NMI</a> enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used <a href="https://himalayas.app/companies/nmi">NMI</a> in the last 24 hours without even realizing it. We’re the platform that powers success for innovative tech created by SMBs, entrepreneurs and fintech startups. We’re creative problem solvers who help visionaries smash through boundaries and think beyond what’s possible so they can think about what’s next. But we’re not just built for the tech savvy. We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectrum of commerce. We’re all about enabling more payments in more ways and more places.</p><p>We believe that having a diverse group of employees strengthens both our work and our workplace. We’re focused on making <a href="https://himalayas.app/companies/nmi">NMI</a> more diverse and welcoming with initiatives like having a dedicated Diversity, Equity &amp; Inclusion action group, diversity goals for hiring, anonymized resume screening, affinity groups such as our Women's network and LGBTQ+ Network, open forums for discussions on diversity and social justice, and measuring inclusion and belonging as part of our regular employee engagement surveys.</p><h4><strong>Equal Opportunity</strong></h4><p><a href="https://himalayas.app/companies/nmi">NMI</a> is committed to providing equal employment opportunity for all persons regardless of race, color, religion, sex, age, marital status, national origin, sexual orientation or sexual identity, genetic information, citizen status (except those that do not have the legal right to be employed in the United States), disability, military service, service member, veteran status, or any other basis protected by applicable law.</p><p>Please be aware that all offers of employment are made subject to receipt of satisfactory background and financial checks.</p><p>Attention job applicants: Please note that in compliance with the data protection regulations within your jurisdiction, any personal information submitted with your job application may be collected and used by <a href="https://himalayas.app/companies/nmi">NMI</a> for the purpose of recruitment and employment-related activities. By submitting your application, you acknowledge and provide explicit consent to the processing of your personal information as described in our privacy policy found on our website. For more information on how we process your information, please read our privacy policy here: </p><div class="content-pay-transparency"><div class="pay-input">
<div class="title">Salary range, depending on experience:</div>
<div class="pay-range">$65,000—$85,000 USD</div>
</div></div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Data Analyst, Revenue Operations

<p><a href="https://jobicy.com/company/tremendous" target="_blank" rel="noopener">Tremendous</a> is the global platform built for businesses to send thousands of payouts to anyone, anywhere, for free. We're trusted by 20,000 organizations like Atlassian, MIT, and United Way to deliver gift cards and money to millions of recipients worldwide.</p>
<p>Our customers (researchers, marketers, HR teams, nonprofits, and platform businesses) rave about how fast and easy Tremendous is to use. <a href="https://www.g2.com/products/tremendous/reviews" rel="nofollow ugc noopener" target="_blank">Check out our ratings on G2</a>.</p>
<p>Tremendous is profitable and growing without outside investors. We're a fully remote, high-documentation, low-meeting culture, which means more time for what matters in both your professional and personal life. The team agrees– our employee NPS is in the high 80s.</p>

<p><strong>About the role</strong></p>
<p>We are hiring an experienced data analyst to partner with our internal stakeholders and help build the foundations that make AI-powered data access reliable.</p>
<p>You will support multiple business areas (including Product, Finance, and Customer Success) and contribute significantly to the semantic layer and our data model.</p>
<p>Tremendous values data as a first-class citizen and believes insights unlock significant growth. You will be an integral part of the data team and collaborate closely with company-wide stakeholders.</p>

<p><strong>What you'll do</strong></p>
<ul>
<li>
<p>Contribute to trusted, reliable data models and semantic layer coverage that make AI-generated analyses more accurate.</p>
</li>
<li>
<p>Apply various analytics methods to gain insights into critical aspects of our business.</p>
</li>
<li>
<p>Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.</p>
</li>
<li>
<p>Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.</p>
</li>
<li>
<p>Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, and fostering new expertise.</p>
</li>
<li>
<p>Join a growing data team and actively contribute to team collaboration and culture.</p>

</li>
</ul>
<p><strong>What you'll bring</strong></p>
<ul>
<li>
<p>You write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.</p>
</li>
<li>
<p>You are proficient with at least one visualization &amp; business intelligence platform (e.g., Sigma, Tableau, Looker, Mode).</p>
</li>
<li>
<p>Strong verbal and communication skills. You can articulate why something should be built a certain way and how it will impact the business.</p>
</li>
<li>
<p>You're comfortable working alongside AI tools and thinking critically about AI-generated output.</p>
</li>
<li>
<p>You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.</p>
</li>
<li>
<p>You employ a structured approach to handle ambiguous exploratory analysis, balancing thoroughness with the MVP mindset.</p>
</li>
<li>
<p>You use excellent judgment and sharp business and product instincts that allow you to prioritize.</p>
</li>
</ul>
<p><em>Bonus</em></p>
<ul>
<li>
<p>Experience working with a B2B software product.</p>
</li>
<li>
<p>Experience with dbt, Sigma, and Snowflake.</p>
</li>
<li>
<p>Experience in Python or R.</p>

</li>
</ul>
<p><strong>What's cool about the role</strong></p>
<ul>
<li>
<p><strong>Competitive pay and equity.</strong> Base salary for this role: $175k to $225k.</p>
</li>
<li>
<p><strong>Real benefits.</strong> 100% covered health (US), unlimited PTO, 12-16 weeks paid parental leave.</p>
</li>
<li>
<p><strong>Fully remote.</strong> Work from anywhere in the Americas.</p>
</li>
<li>
<p><strong>Great culture.</strong> Read more about how we work in our <a href="https://handbook.tremendous.com/" rel="nofollow ugc noopener" target="_blank">public handbook</a>.</p>
</li>
</ul>

Senior Data Analyst

<p>In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing.</p><p>While much has changed since then, the importance of numbers in building great technology remains. We’re looking for Data Scientists who can help us build our analytics engine by making meaning from data and identifying opportunities for improvement.</p><p>As a Growth Data Scientist at <a href="https://himalayas.app/companies/mercury">Mercury</a>, you will partner with Growth product, design, engineering and marketing leaders to shape how <a href="https://himalayas.app/companies/mercury">Mercury</a> acquires, activates and retains customers across business and personal banking*. This is a strategic, product-facing role: you’ll frame the “why” behind what we build, size opportunities, and turn the growth funnel into clear, prioritized recommendations. You will work as a full-stack Data Scientist on projects end to end and build deep domain expertise at the intersection of Data Science, Product and Growth. You will help set the direction for how Growth measures success and decides where to invest, in line with <a href="https://himalayas.app/companies/mercury">Mercury</a>’s broader product and company goals.</p><h3>Here are some things you’ll do on the job:</h3><ul>
<li>Partner with Growth product, design, engineering and marketing leaders to identify the highest-impact business questions, and influence what gets built and why.</li>
<li>Own the growth funnel end to end, from first visit through signup, approval, activation and retention, building the metrics, driver trees and narratives that show where we’re winning and where we’re not.</li>
<li>Size opportunities and help prioritize the Growth roadmap and annual planning, making clear recommendations even when data is incomplete.</li>
<li>Design, analyze and communicate experiments (A/B tests and quasi-experimental methods) that tell teams whether a change worked and what to do next.</li>
<li>Right-size your work to the decision: fast and directional when that’s what’s needed, rigorous when the stakes call for it.</li>
<li>Collaborate with other Data Scientists, Data Engineers and Analytics Engineers to build trusted, self-serve growth metrics.</li>
<li>Communicate findings and recommendations to audiences at all levels, including executives, with a clear point of view that improves entrepreneurs’ lives and generates revenue for <a href="https://himalayas.app/companies/mercury">Mercury</a>.</li>
</ul><h3>You should:</h3><ul>
<li>Have 6+ years of experience in data science, product analytics or growth analytics, including 3+ years partnering closely with product growth teams.</li>
<li>Have strong product sense and a track record of shaping product direction, not just measuring it, including times your work changed what a team built.</li>
<li>Have deep experience with experiment design and analysis, as well as funnel, cohort and retention analysis.</li>
<li>Have fluency in SQL and a statistical programming language (e.g. Python, R).</li>
<li>Have experience with product analytics and BI tools such as Amplitude, Hex, Omni or similar; familiarity with Snowflake and dbt is a plus.</li>
<li>Be comfortable with ambiguity and with respectfully disagreeing with senior stakeholders, backed by evidence.</li>
<li>Be a clear, concise communicator who leads with the point and tailors the message to technical and non-technical audiences.</li>
<li>Nice to have: experience in consumer or SMB fintech, or with mobile product analytics.</li>
</ul><p>* <a href="https://himalayas.app/companies/mercury">Mercury</a> is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.</p><p><a href="https://himalayas.app/companies/mercury">Mercury</a> values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at <a href="https://himalayas.app/companies/mercury">Mercury</a> are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.</p><div class="content-pay-transparency">
<div class="pay-input">
<div class="description">
<p><strong>Total Rewards</strong><br>The total rewards package at <a href="https://himalayas.app/companies/mercury">Mercury</a> includes base salary, equity (stock options/RSUs), and benefits.</p>
<p>Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.</p>
<p>Our target new hire base salary ranges for this role are the following<strong>:</strong></p>
</div>
<div class="title">US employees (any location):</div>
<div class="pay-range">$200,700—$250,900 USD</div>
</div>
<div class="pay-input">
<div class="title">Canadian employees (any location):</div>
<div class="pay-range">$189,700—$237,100 CAD</div>
</div>
</div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior Data Scientist - Growth

<div class="content-intro"><p>Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</p></div><h2><strong>Staff Machine Learning Engineer, CX Intelligence</strong></h2>
<div>&nbsp;</div>
<div>CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience.<br><br><strong>What you'll do:</strong></div>
<ul>
<li>Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems.</li>
<li>Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes.</li>
<li>Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies.</li>
<li>Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code.</li>
<li>Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence.</li>
<li>Drive design reviews covering security, responsible AI, model quality, and architectural integrity, improving reliability, scalability, and latency across the stack.</li>
</ul>
<div><strong>Required Skills and Experience:</strong></div>
<ul>
<li>8+ years of experience in machine learning and software engineering, with proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services.</li>
<li>Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics.</li>
<li>Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services.</li>
<li>Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders.</li>
<li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.</li>
</ul>
<p>Job #: P77568</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Pay Transparency Notice:</strong><strong><em> </em></strong>Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).&nbsp;</p>
<p>&nbsp;</p></div><div class="title">Annual base salary range (excluding equity and bonus):</div><div class="pay-range"><span>$218,025</span><span class="divider">&mdash;</span><span>$256,500 USD</span></div></div></div><div class="content-conclusion"><ul>
<li style="font-style: italic; font-size: 8pt;"><strong><em>Application Limit: </em></strong>Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Equal Opportunity Employer: </strong>Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>US Applicants: </strong>View<a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf"> Employee Rights</a>,<a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf"> Know Your Rights</a>, and<a href="https://static-assets.coinbase.com/e-verify.pdf"> E-Verify</a> Notice of Participation.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Accommodations: </strong>If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.&nbsp;Need screen reading technology?<a href="https://chromewebstore.google.com/detail/screen-reader/kgejglhpjiefppelpmljglcjbhoiplfn"> Click here</a> to download a free compatible screen reader and view the<a href="http://www.chromevox.com/tutorial/"><strong> </strong>tutorial</a>.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Data Privacy &amp; Arbitration: </strong>By submitting your application, you agree to our<a href="https://www.coinbase.com/legal/applicant_privacy_notice"> Candidate Privacy Notice</a>. US applicants: By submitting your application, you agree to<a href="https://www.coinbase.com/legal/application-arbitration-agreement"> Arbitration of Disputes</a>.<br></em></span></li>
</ul>
<div id="fortidlp-input-element-parent"></div></div>

<h3><strong>Senior/Staff Machine Learning Data Scientist</strong></h3>

<h3><strong>In Brief</strong></h3>
<ul>
<li>
<p>We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.</p>
</li>
<li>
<p><strong>TLDR</strong>: Independent end-to-end model development with ability to work cross-functionally with Clinical, Engineering, and Product to clarify and prioritize specifications and features for our life-saving AI models.</p>
</li>
</ul>
<h3><strong>Who We Are</strong></h3>
<p><a href="https://jobicy.com/company/bayesian-health" target="_blank" rel="noopener">Bayesian Health</a>’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.</p>
<p>We’re funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.</p>
<p><a href="https://www.bayesianhealth.com/sepsis-research/?__hstc=251652889.1e7598f5de0ed9b513da684474e8a044.1710861879595.1710945070565.1710971833587.3&amp;__hssc=251652889.1.1710971833587&amp;__hsfp=1890770568" rel="nofollow ugc noopener" target="_blank"><u>Read more about our recent publication in Nature Medicine that associates our products with lives saved.</u></a></p>

<h3><strong>What you’ll do</strong></h3>
<p>As a Senior/Staff Machine Learning Data Scientist, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren’t afraid to get your hands dirty by writing data mapping code, debugging a specific patient case by following patient data as it moves through our AWS services, or improving the timeliness of your model’s predictions by reading and writing production-grade Python and SQL code.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>
<p><strong>Model Prototyping:</strong> Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods</p>
</li>
<li>
<p><strong>Productionizing:</strong> The same models that you develop with production-grade Python</p>
</li>
<li>
<p><strong>Deploying: </strong>Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies</p>
</li>
<li>
<p><strong>Cross-Functional Alignment</strong>: Data Science for storytelling – understand model performance and metrics, and present this to technical and non-technical users, both internally and externally</p>
</li>
</ul>
<h3><strong>Minimum qualifications</strong></h3>
<ul>
<li>
<p>Ph.D. in a relevant field plus 3+ years experience shipping ML based software products</p>
</li>
<li>
<p>Experience owning your ML models from prototyping to production, especially real-time algorithms that update dynamically across time</p>
</li>
<li>
<p>Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems</p>
</li>
<li>
<p>Track record of using statistics and performance metrics to compare end-to-end ML and product performance</p>
</li>
</ul>
<h3><strong>Preferred qualifications</strong></h3>
<ul>
<li>
<p>Experience shipping breakthrough or 0-1 products from end to end, interpreting and leveraging State-of-the-Art methods to do so</p>
</li>
<li>
<p>Experience using messy clinical and health data to design new products for large Health Systems</p>
</li>
<li>
<p>Experience with any of the following: PyTorch, PySpark, HL7, FHIR, EHR, time series data, signal processing, MLFlow, anomaly detection, Bayesian statistics, quantile regression, time-series forecasting</p>
</li>
<li>
<p>You bring passion and enthusiasm to your work, and are excited to join a growing team to Get Stuff Done and save lives!</p>
</li>
</ul>
<p>Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p>
<p>This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</p>

Senior/Staff Machine Learning Data Scientist

<div class="content-intro"><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</p></div><p>The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to build foundational capabilities that support our partners, including Discovery, Search, Growth, and Ads. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.&nbsp; In this role, you will lead ambiguous, high-impact scientific and engineering efforts that create reusable representations, models, and signals.&nbsp; You’ll work across research, machine learning, infrastructure, and engineering domains to turn advances in VLMs, LLMs, multimodal learning and sequence modeling into impact.&nbsp; This role is ideal for a deeply technical leader who combines strong ML judgment with product intuition. Expertise in visual representation learning and content understanding is especially valuable; experience with user understanding, recommender systems and LLMs is also highly relevant.</p>
<p><strong>What will you be doing:</strong></p>
<ul>
<li>Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization.</li>
<li>Lead high-impact scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption.</li>
<li>Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation.</li>
<li>Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps and investments.</li>
<li>Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists.</li>
</ul>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>Minimum 7 years of industry experience, including 2+ years of tech leading teams</li>
<li>MS or PhD degree in computer science, machine learning, or equivalent industry experience.</li>
<li>Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or open-source ML experience</li>
<li>Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models).</li>
<li>Hands-on experience with distributed tooling for ML data pipelines (e.g. Spark, Hive, MapReduce)</li>
<li>Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems.</li>
<li>Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.</li>
<li>Excellent cross-functional communication and collaboration skills</li>
</ul>
<p><strong>Relocation Statement:</strong></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li>
</ul>
<p><strong>In-Office Requirement Statement:</strong></p>
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the USA.<br><br><br></li>
</ul>
<p>#LI-AK7<br>#LI-REMOTE</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>
<p><em><span style="font-weight: 400;">Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</span></em></p></div><div class="title">US based applicants only</div><div class="pay-range"><span>$189,308</span><span class="divider">&mdash;</span><span>$389,753 USD</span></div></div></div><div class="content-conclusion"><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete&nbsp;<a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.</div>
<div>&nbsp;</div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

Staff Machine Learning Engineer, Content Visual AI

<div class="content-intro">
<p>On this journey for over 12 years, <a href="https://himalayas.app/companies/qventus">Qventus</a> is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.</p>
<p>Our success in rapid scale across the globe is backed by some of the world's leading investors. At <a href="https://himalayas.app/companies/qventus">Qventus</a>, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. </p>
</div><h3><strong>Job Description</strong></h3><h3>About Us</h3><p>On this journey for over 12 years, <a href="https://himalayas.app/companies/qventus">Qventus</a> is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.</p><p>Our success in rapid scale across the globe is backed by some of the world's leading investors. At <a href="https://himalayas.app/companies/qventus">Qventus</a>, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.</p><h3>About the Role</h3><p>We’re looking for an experienced Data Scientist to join our Data Science team. In this role, you will leverage your expertise to develop and implement cutting edge solutions leveraging a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML &amp; LLM solutions to boost <a href="https://himalayas.app/companies/qventus">Qventus</a> intelligence and outcomes. You’ll work cross-functionally with clinicians, data scientists, data platform engineers, and product experts to shape solutions that deliver measurable value.</p><p>This is a high-impact role that will influence our models and products that improve the quality of healthcare and save patient lives, strengthen customer outcomes, and shape our company’s growth trajectory.</p><h3>Key Responsibilities</h3><ul>
<li>Build, refine, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches.</li>
<li>Develop, tune, and deploy LLM systems with an eye towards rigorous evaluation of performance and user trust.</li>
<li>Design comprehensive experiments and devise impactful analytics to measure the net impact of AI in healthcare settings.</li>
<li>Perform hands-on data engineering: cleaning, transforming, and building pipelines (SQL, Python).</li>
<li>Collaborate with cross-functional teams to translate data insights into deployed products.</li>
<li>Strong ability to communicate findings clearly to both technical and non-technical audiences.</li>
</ul><h3>What We’re Looking For</h3><ul>
<li>3+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.</li>
<li>1+ years experience developing and tuning LLM systems.</li>
<li>Strong cross-functional communication with technical and non-technical partners.</li>
<li>Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.</li>
<li>Strong software development foundations - dedication to high code quality, stable architecture</li>
</ul><h3>Bonus Points For</h3><ul>
<li>Background in healthcare data or hospital operations.</li>
<li>Experience with Databricks, AWS, DBT, or similar platforms.</li>
<li>Master’s degree or equivalent professional experience in Computer Science, Statistics, or related fields</li>
</ul><div class="content-pay-transparency"><div class="pay-input">
<div class="description"><p>Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at <a href="https://himalayas.app/companies/qventus">Qventus</a>. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards.</p></div>
<div class="title">Salary Range</div>
<div class="pay-range">$130,000—$170,000 USD</div>
</div></div><div class="content-conclusion">
<p> <a href="https://himalayas.app/companies/qventus">Qventus</a> values diversity in its workforce and proudly upholds the principles of  Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. </p>
<p> <a href="https://himalayas.app/companies/qventus">Qventus</a> participates in the  E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), <a href="https://himalayas.app/companies/qventus">Qventus</a> provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. </p>
<p> *Benefits and perks are subject to plan documents and may change at the company's discretion. </p>
<p> *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test. </p>
</div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior Data Scientist

<div class="content-intro"><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</p></div><p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</p>
<p>As a Data Scientist in our Core organization - Trust and Safety + Content Quality, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. The core mandate is to evolve the organization from reactive moderation and lagging harm reporting into a proactive, metrics-driven operating system—where we manage leading indicators that predict risk, improve understanding quality, and keep Pinterest safe, inspiring, and useful.</p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Develop a deep, nuanced understanding of the Pinterest trust and safety platform, quantifying full funnel opportunities and risks</li>
<li>Lead projects on: Trust and Safety opportunities across different funnel stages</li>
<li>Design and productionize robust, scalable ML and evaluation frameworks—spanning statistical measurement, product recommendation, and forecasting</li>
<li>Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love</li>
<li>Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners</li>
<li>Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development</li>
<li>Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest</li>
</ul>
<p>&nbsp;</p>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>Minimum 10 years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data</li>
<li>Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields</li>
<li>A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output</li>
<li>Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)</li>
<li>Excellent communication skills and ability to explain learnings to both technical and non-technical partners</li>
<li>A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions</li>
<li>Excellent communication and influencing skills</li>
<li>Bachelor’s degree in Computer Science, a related field or equivalent experience</li>
</ul>
<p>&nbsp;</p>
<p><strong>Relocation Statement:</strong></p>
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.</li>
</ul>
<p><strong>Relocation Statement:</strong></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li>
</ul>
<p>&nbsp;</p>
<p>#LI-NM4</p>
<p>#LI-REMOTE</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>
<p><em><span style="font-weight: 400;">Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</span></em></p></div><div class="title">US based applicants only</div><div class="pay-range"><span>$164,695</span><span class="divider">&mdash;</span><span>$339,078 USD</span></div></div></div><div class="content-conclusion"><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete&nbsp;<a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.</div>
<div>&nbsp;</div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

Staff Data Scientist, Trust and Safety

<div class="content-intro"><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</p></div><p>We’re looking for a Sr. Software Engineer , Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams.</p>
<p>&nbsp;</p>
<p><strong>What you’ll do:</strong></p>
<p>&nbsp;</p>
<ul>
<li>Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work.</li>
<li>Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics.</li>
<li>Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions.</li>
<li>Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices.</li>
<li>Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use.</li>
<li>Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements.</li>
<li>Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use.</li>
</ul>
<p>&nbsp;</p>
<p><strong>What we’re looking for:</strong></p>
<p>&nbsp;</p>
<ul>
<li>Minimum of 4 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment.</li>
<li>Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning.</li>
<li>Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets.</li>
<li>Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams.</li>
<li>Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows.</li>
<li>Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review.</li>
<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables.</li>
<li>Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience.</li>
</ul>
<p>&nbsp;</p>
<p><strong>Relocation Statement:</strong></p>
<p>&nbsp;</p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/">PinFlex</a> page to learn more about our working model.</li>
</ul>
<p>&nbsp;</p>
<p><strong>In-Office Requirement Statement:</strong></p>
<ul>
<li>PinFlex: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration 1–2 times per month and therefore can be situated anywhere in the country.</li>
</ul>
<p>#LI-REMOTE</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>
<p><em><span style="font-weight: 400;">Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</span></em></p></div><div class="title">US based applicants only</div><div class="pay-range"><span>$183,040</span><span class="divider">&mdash;</span><span>$320,320 USD</span></div></div></div><div class="content-conclusion"><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete&nbsp;<a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.</div>
<div>&nbsp;</div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

Sr. Software Engineer, Data Analytics Engineering

<p>In 1989, Tim Berners-Lee wrote a proposal for CERN. CERN lost knowledge when people left, because its information was in many systems that did not connect. His solution was simple: link documents so that all people can find them and use them. That proposal became the World Wide Web.</p>
<p>Mercury has a similar challenge with data. Teams, models, and AI agents need data that they can find, understand, and trust. We are building an AI-native data platform that enables Mercury to have reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools.</p>
<p>We are hiring a Senior Analytics Engineer to help us accelerate. You’ll join a team of high-performing Data and Analytics Engineers building the shared foundations that power decisioning, automation, and measurement across the company, collaborating closely with Data Scientists and partners in Product, Engineering, and Operations. Your curiosity and bias toward action will drive meaningful impact as you build durable data products, unlock faster experimentation, and help teams ship propensity models, agentic workflows, and amazing data-driven experiences for our customers. Come grow with us.</p>
<h3>Responsibilities:</h3>
<ul>
<li>Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments&nbsp;</li>
<li>Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt Agent (Ralph) that are built and managed by our Analytics Engineers</li>
<li>Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support</li>
<li>Help us implement the data and analytics products we’ll need to effect our bank charter</li>
<li>Contribute to the evolution of our data quality, governance, and security strategies</li>
<li>Contribute to our definition of Analytics Engineering standards and best practices</li>
</ul>
<h3>You may be a good fit if you:</h3>
<ul>
<li>Have 4+ years of Analytics or Data Engineering experience</li>
<li>Have expertise working in a full modern data stack including Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents</li>
<li>Are proficient with SQL and have working experience with Python</li>
<li>Proficient using AI agents to accelerate your and your teammates’ work</li>
<li>Have experience with dimensional data modeling principles and building data for scale</li>
<li>Treat data products as a platform by prioritizing reusable, scalable deliverables</li>
<li>Deliver readable code, strong tests, and quality documentation</li>
<li>Experiment responsibly and share what you learn so everyone benefits</li>
<li>Practice relentless empathy by meeting your stakeholders in Data, Product, Engineering, and beyond where they’re at and helping them succeed</li>
<li>Discern what’s needed from what’s wanted to deliver maximum impact</li>
</ul>
<h3>Strong candidates may additionally have:</h3>
<ul>
<li>Banking* or financial services industry experience</li>
<li>Experience with agentic development and/or analytics workflows</li>
<li>Exposure to data governance, compliance, and security best practice</li>
<li>A full-stack mindset and willingness to solve problems end-to-end by flexing into Data Engineering and Data Analysis</li>
</ul>
<p>If this role interests you, we invite you to explore our public demo at <a href="demo.mercury.com">demo.mercury.com</a>.&nbsp;</p>
<p><em>*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.</em></p>
<p>Mercury values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.</p>
<p>#LI-GC1</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Total Rewards</strong><br>The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.</p>
<p>Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.</p>
<p>Our target new hire base salary ranges for this role are the following<strong>:</strong></p></div><div class="title">US employees (any location):</div><div class="pay-range"><span>$166,600</span><span class="divider">&mdash;</span><span>$208,300 USD</span></div></div><div class="pay-input"><div class="title">Canadian employees (any location):</div><div class="pay-range"><span>$157,400</span><span class="divider">&mdash;</span><span>$196,800 CAD</span></div></div></div>

Senior Analytics Engineer

<div class="content-intro"><p><a href="https://himalayas.app/companies/may-mobility">May Mobility</a> is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.<br><br>Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</p></div><p>The Autonomy Mapping &amp; Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.</p><h3><strong>Essential Responsibilities</strong></h3><ul>
<li>Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with the broader autonomy system</li>
<li>Lead the research, design, training and validation of advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.</li>
<li>Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.</li>
<li>Own the end-to-end data strategy for the mapping domain. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.</li>
<li>Develop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).</li>
<li>Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.</li>
<li>Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.</li>
<li>Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques. This includes online vectorized HD map construction, end-to-end mapping models, and vision/fusion foundation models to deliver production-ready solutions.</li>
</ul><h3><strong>Qualifications and Experience</strong></h3><p>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:</p><h3>Required</h3><ul>
<li>Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.</li>
<li>7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.</li>
<li>Deep expertise in several of the following areas:</li>
<ul>
<li>Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.</li>
<li>Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.</li>
<li>Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.</li>
<li>Self-supervised/semi-supervised and vision/fusion Foundation Models.</li>
</ul>
<li>Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.</li>
<li>Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.</li>
<li>Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.</li>
<li>Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.</li>
<li>Strong communication skills with the ability to lead technical discussions and align with cross-functional teams.</li>
</ul><h3>Desirable</h3><ul>
<li>10+ years of experience in ML/DL for autonomous driving or ADAS systems.</li>
<li>Experience with feature extraction and/or fusion from both street-level and overhead imagery.</li>
<li>Experience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.</li>
<li>Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.</li>
<li>A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).</li>
</ul><h3><strong>Physical Requirements</strong></h3><ul>
<li>Standard office working conditions which includes but is not limited to:</li>
<ul>
<li>Prolonged sitting</li>
<li>Prolonged standing</li>
<li>Prolonged computer use</li>
</ul>
<li>Travel required? -  Moderate: 11%-25%</li>
</ul><hr><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"><div class="c-message__message_blocks c-message__message_blocks--rich_text"><div class="p-block_kit_renderer"><div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"><div class="p-rich_text_block">
<div class="p-rich_text_section">
<h3>Benefits and Perks</h3>
<ul>
<li>Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. </li>
<li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li>
<li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li>
<li>Generous paid parental leave as well as a phased return to work. </li>
<li>Flexible vacation policy in addition to paid company holidays.</li>
<li>Total Wellness Program providing numerous resources for overall wellbeing   </li>
</ul>
</div>
<div class="p-rich_text_section">Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At <a href="https://himalayas.app/companies/may-mobility">May Mobility</a>, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</div>
</div></div></div></div></div><p><em>Want to learn more about our culture &amp; benefits? Check out our website!</em></p><p><em><a href="https://himalayas.app/companies/may-mobility">May Mobility</a> is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.</em></p><p><strong><em>Note to Recruitment Agencies:</em></strong><em> <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> does not accept unsolicited agency resumes. Furthermore, <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> does not pay placement fees for candidates submitted by any agency other than its approved partners.</em></p><div class="content-pay-transparency"><div class="pay-input">
<div class="title">Salary Range</div>
<div class="pay-range">$225,000—$275,000 USD</div>
</div></div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Lead ML Engineer - Mapping


          <strong>Role Overview</strong>-The Digital &amp; Marketing Analytics team provides advanced analytics products/dashboards and reporting services to stakeholders in the Digital and Marketing teams.<br><br><strong>Salary: $115K<br><br></strong><strong>Write Up &#x2013; Required Professional Experience, Technologies &amp; Additional Context<br><br></strong><ul><li>Summarize exp. they have with enterprise analytical &amp; BI tools (such as, Cognos, Tableau, Qlickview, Excel PowerPivot, SSRS)</li><li>Summarize exp they have with programming languages (such as SAS, SQL, R, or STATA)</li><li>What regulated industry do they have experience in, as an Analytics Developer? (Healthcare, etc)<br><br><br></li></ul><strong>Baylor Scott &amp; White &#x2013; Remote. Excluding Baylor Restricted States: </strong>California, Hawaii, New Jersey, New York, North Dakota, Oregon, Puerto Rico, Rhode Island, US Virgin Islands, Washington, Wyoming <strong>Analytics Developer III</strong> <strong>Direct Hire</strong> *Candidates must complete a background check &amp; drug screen upon offer*<br><br><strong>Job Description:<br><br></strong>The Digital Analytics team delivers trusted measurement, advanced analytics products, dashboards, reporting, and actionable insights to leaders and stakeholders across the organization.<br><br>As a member of the Customer Analytics team, the Analytics Developer III serves as a high-impact, leadership-facing analyst who connects business strategy, digital experiences, customer behavior, and data to guide decisions. This role partners with senior leaders and cross-functional teams to frame ambiguous business needs as clear analytical problem statements, determine what must be measured, and identify creative, fact-based ways to answer the questions that matter most. The role owns the analytical lifecycle from data-first measurement design and tracking requirements through data collection, implementation support, quality assurance, exploratory analysis, metric development, dashboarding, and executive-ready storytelling.<br><br><strong>ESSENTIAL FUNCTIONS Of The ROLE<br><br></strong><ul><li>Partner with leaders and cross-functional teams to understand business objectives, challenge assumptions, and translate ambiguous needs into clear analytical problem statements and measurable outcomes.</li><li>Define the measurement strategy before implementation, including events, dimensions, metrics, data sources, tracking requirements, technical specifications, processes, and workflows.</li><li>Serve as a trusted analytical advisor and lead consultant for senior stakeholders, guiding prioritization, measurement decisions, and resource alignment.</li><li>Apply systems thinking to connect customer journeys, digital experiences, operational processes, source systems, and downstream reporting; identify dependencies, gaps, and creative approaches to answer business questions with evidence.</li><li>Extract, transform and load data into database as required utilizing the most appropriate tool.</li><li>Assess, produce and/or develop complex relevant, standard, or custom information (reports, dashboards, interactive reporting, charts, graphs and tables) from various data sources by querying data and generating the associated output. Distribute and disseminate analytical deliverables to applicable agencies, researchers, management and other customers.</li><li>Lead end-to-end data quality assurance, including tracking validation, instrumentation QA, reconciliation, metric testing, anomaly detection, and documentation of known limitations before results reach leadership.</li><li>Document project/work assignments to include all needed technical documentation such as source to target mappings, data sources, definitions, methodologies, contact information, output requirements or other information to ensure continuity of process.</li><li>Interpret complex data and associated deliverables (reports, dashboards, interactive reporting, charts, graphs and tables) in plain business language for executive &amp; clinical staff. Effectively summarize information and create intuitive/digestible information by selecting visualizations that are fit for purpose.</li><li>Use advanced SQL to develop complex metrics, reusable analytical datasets, and exploratory data analyses that evaluate performance, explain drivers, test hypotheses, and surface opportunities across digital, customer, operational, and marketing use cases.</li><li>Connect the dots across disparate data and perspectives to identify trends, root causes, opportunities, and risks; develop fact-based recommendations that leaders can act on.</li><li>Provide technical mentorship and raise the team&apos;s analytical maturity through reusable methods, measurement standards, SQL practices, QA discipline, and clear storytelling.<br><br><br></li></ul><strong>KEY SUCCESS FACTORS<br><br></strong><ul><li>Bachelor&apos;s degree in Statistics, Operations Research, Physics, Computer Science,</li><li>Economics, Business, Clinical or other similar degree or equivalent experience required.</li><li>Master&apos;s degree preferred.</li><li>Strong analytical, systems-thinking, problem-solving, data manipulation, troubleshooting, and structured thinking skills, with the ability to decompose complex business problems into answerable analytical questions.</li><li>Advanced development skills in the use of enterprise analytical and Bl tools, such as Cognos,</li><li>Tableau, QIickView, Excel PowerPivot or SSRS.</li><li>Advanced SQL skills, and comfort using Python, pyspark, including the ability to query, join, model, validate, and analyze complex data in Snowflake; develop sophisticated metrics and exploratory analyses; and optimize queries for repeatable use.</li><li>Verbal and written communication skills.</li><li>Ability to design and influence the implementation of measurement systems, tracking plans, and data pipelines necessary to collect, maintain, validate, and analyze trustworthy digital and business data.</li><li>Ability to gather, integrate, and analyze data; define meaningful metrics; conduct exploratory analysis; and develop executive-ready reports and recommendations.</li><li>Ability to work independently, lead cross-functional teams with minimal supervision, and influence decisions across product, marketing, technology, data engineering, and business functions.</li><li>Knowledge of ETL &amp; Data Warehousing.</li><li>Ability to work with complex data of varying levels of quality and validity.</li><li>Ability to develop data analytics and BI applications in a clear and understandable manner</li><li>meeting user requirements.</li><li>Inquisitive, hypothesis-driven mindset with the ability to learn new business domains, data sources, tools, and processes quickly; ask incisive questions; identify creative analytical approaches; and improve efficiency and decision quality.<br><br><br></li></ul>
        

Analytics Developer III


          Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.<br><br>Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.<br><br>Join our Core Lab Solutions (CLS) team as a Strategy and Business Process Analyst and partner closely with our Senior Manager of Strategy and Business Processes to help shape how we work and make decisions.<br><br><strong>This is a remote position with a preference for East Coast.<br><br></strong>In this highly visible role, you&#x2019;ll play a key part in advancing our analytical capabilities within Integrated Business Planning (IBP), empowering leaders with insights that drive smarter, faster, data&#x2011;driven decisions.<br><br>As Siemens Healthineers navigates an increasingly complex global landscape, your work will directly support the evolution of an operating model built for efficiency, agility, and speed - helping IBP serve as a foundational enabler of our continued success.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Developing dashboards and reporting capabilities to support the CLS Business line, including Integrated Business Planning (IBP) and the Project Management Office (PMO)</li><li>Providing regular reports and analyses on topics central to Integrated Business Planning (IBP)</li><li>Improving business processes by analyzing complex datasets, creating compelling visualizations to communicate insights effectively and translating into clear actionable recommendations</li><li>Support strategic projects with analytical support to drive data-driven decisions that improve business outcomes, requiring broad analyses crossing functional boundaries including supply chain, commercial, service, marketing, and finance</li><li>Driving data governance across IBP; ensuring a single set of numbers across all forums</li><li>Engaging cross-functionally to identify, collate, and integrate data sources that provide insights to drive business line strategy and enable scenario planning</li><li>Fulfilling ad-hoc requests in support of Integrated Business Planning, Strategic Projects, and other key business processes<br><br></li></ul><strong>What Will Help You Succeed<br><br></strong>You will be successful in this role if you enjoy:<br><br><ul><li>Streamlining reporting and analytical processes to provide information in a timely manner</li><li>Leveraging an analytical skillset to evaluate processes and identify improvement opportunities</li><li>Conveying complex information clearly with data visualization and storytelling</li><li>Working with various stakeholders and process owners to collect requirements and build dashboards/reporting that support operations<br><br></li></ul><strong>Required Qualifications<br><br></strong><ul><li>Bachelor&#x2019;s degree in Data Analytics, Supply Chain, Engineering, Business, or related fields</li><li>3-5 years of experience working cross-functionally in data analysis, business intelligence or IBP/S&amp;OP environments</li><li>High proficiency in SQL, Excel (PowerQuery/PowerPivot) and data visualization tools (PowerBI)</li><li>Highly organized, with analytical problem-solving skills and attention to detail</li><li>Able to utilize operational and business acumen to frame problems and structure analyses</li><li>Strong listening, verbal, and written communication skills to effectively present ideas and recommendations to diverse audiences</li><li>Must be able to collaborate in a team environment and across functional boundaries</li><li>Must be able to work independently and be self-motivated</li><li>Willing to travel as necessary and appropriate, including internationally<br><br></li></ul><strong>Preferred Qualifications<br><br></strong><ul><li>Experience working in a regulated / FDA environment</li><li>Prior experience working in a large, matrixed organization</li><li>Familiarity with Python/R, databases (e.g. Snowflake), ERP systems (e.g. SAP), IBP Platforms (e.g. Kinaxis) preferred<br><br></li></ul><strong>Who we are</strong>: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.<br><br><strong>How we work:</strong> When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual&#x2019;s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world&#x2019;s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.<br><br>To find out more about Siemens Healthineers businesses, please visit our company page here.<br><br><strong>The Base Pay Range For This Position Is<br><br></strong>$89,220 - $122,683<br><br>Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.<br><br>If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company&apos;s plan. Commissions are based on individual performance and/or company performance.<br><br>The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.<br><br><strong>Equal Employment Opportunity Statement: </strong>Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.<br><br><strong>EEO is the Law:</strong> Applicants and employees are protected under Federal law from discrimination. To learn more, click here.<br><br><strong>Reasonable Accommodations:</strong> Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.<br><br>If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you&#x2019;re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status.<br><br><strong>California Privacy Notice: </strong>California residents have the right to receive additional notices about their personal information. To learn more, click here.<br><br><strong>Export Control:</strong> &#x201C;A successful candidate must be able to work with controlled technology in accordance with US export control law.&#x201D; &#x201C;It is Siemens Healthineers&#x2019; policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.&#x201D;<br><br><strong>Data Privacy:</strong> We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.<br><br><strong>Beware of Job Scams: </strong>Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.<br><br><strong>To all recruitment agencies:</strong> Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.
        

Strategy and Business Process Analyst (Remote)


          <strong>About Docker<br><br></strong>Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world&apos;s largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.<br><br>We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.<br><br>_______________________________________________________________________<br><br>Docker is looking for a <strong>Senior Marketing GTM Analytics Marketing </strong>to serve as the strategic analytics partner to Marketing and its cross functional partners. This manager level individual contributor will connect customer, campaign, product usage, and revenue data to help leaders improve conversion, prioritize investments, and accelerate pipeline growth.<br><br><strong>Responsibilities<br><br></strong><ul><li>Serve as the strategic analytics partner to Marketing, translating ambiguous questions into clear analyses, recommendations, and measurable actions.</li><li>Own lead and account funnel analytics, including conversion, velocity, quality, cohort performance, and the drivers of strong or weak outcomes.</li><li>Define trusted attribution and return on investment methodologies for marketing programs, including marketing development funds, co marketing, and marketing funded SPIFFs.</li><li>Develop the targeting and measurement model for an inside sales motion into product led growth prospects.</li><li>Build account intelligence and scoring to support account based marketing, expansion, and new product adoption.</li><li>Lead the analytical narrative for Marketing QBRs, operating reviews, and planning, connecting activity to pipeline and revenue.</li><li>Design experiments and measurement plans that identify which programs and growth motions should scale, change, or stop.</li><li>Build scalable datasets, dashboards, and quality controls in partnership with Marketing Operations, Sales Operations, Finance, and Data teams.<br><br></li></ul><strong>Qualifications<br><br></strong><ul><li>7 or more years of experience in marketing, growth, revenue, or GTM analytics, ideally in B2B SaaS.</li><li>Advanced SQL skills and experience with customer, campaign, product usage, CRM, and cloud warehouse data.</li><li>Strong knowledge of demand generation, funnel measurement, attribution, experimentation, account based marketing, and pipeline economics.</li><li>Ability to independently structure complex problems and deliver defensible, decision ready recommendations.</li><li>Experience building scalable dashboards and data products. Salesforce experience is strongly preferred.</li><li> Excellent executive communication, high standards for accuracy, and the ability to influence senior stakeholders without direct authority.</li><li>Comfort operating as a strategic, hands on individual contributor.<br><br></li></ul>What to Expect<br><br>First 30 Days &#x2014; Learn and Assess<br><br><ul><li>Ramp on Salesforce, Snowflake, Sigma, and existing marketing reporting</li><li>Understand marketing programs, funnel definitions, attribution methodology, and end of quarter reporting processes</li><li>Build relationships with Marketing, Field Marketing, RevOps, Finance, and Data partners</li><li>Identify gaps in reporting coverage, data quality, and decision support</li><li>Support recurring and ad hoc analysis to build business context<br><br></li></ul>First 60 Days &#x2014; Own and Improve<br><br><ul><li>Take ownership of core marketing reporting and end of quarter deliverables</li><li>Improve existing dashboards and reporting for accuracy, usability, and actionability</li><li>Establish a consistent support model and feedback loop with Field Marketing</li><li>Begin analysis of funnel conversion, campaign performance, and pipeline contribution</li><li>Align core marketing metrics and definitions across Marketing, RevOps, and Finance<br><br></li></ul>First 90 Days &#x2014; Deliver Insights and Impact<br><br><ul><li>Independently deliver accurate, executive ready marketing reporting for QBRs and other business reviews</li><li>Provide actionable insights into funnel performance, pipeline creation, and marketing investment effectiveness</li><li>Deliver an initial priority analysis, such as Field Marketing ROI, ABM targeting, or PLG and ISR opportunity identification</li><li>Recommend improvements to marketing measurement, attribution, and investment decisions</li><li>Reduce recurring ad hoc requests through scalable dashboards and self service reporting<br><br></li></ul><strong>Docker does not offer visa sponsorship for this role.<br><br></strong><strong>Compensation &amp; Equity<br><br></strong><strong>Canada:</strong> CA$165,900 &#x2013; CA$237,000 + equity<br><br><strong>United States: </strong>$119,700 &#x2013; $181,000 + equity<br><br>______________________________________________________________________<br><br><strong>Posting Information<br><br></strong><ul><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.<br><br></li></ul>______________________________________________________________________<br><br><strong>Perks &amp; Benefits<br><br></strong><ul><li>Remote-first by design &#x2013; Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life &#x2013; We trust you to manage your schedule while delivering great work.</li><li>Time to recharge &#x2013; Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support &#x2013; Set up your workspace for comfort and success.</li><li>Technology stipend &#x2013; Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development &#x2013; Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave &#x2013; 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees &#x2013; Share in Docker&apos;s long-term success as we continue to grow.</li><li>Comprehensive benefits &#x2013; Medical, retirement, and paid holidays vary by country.</li><li>Docker swag &#x2013; Because representing the whale never gets old.<br><br></li></ul><em>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.<br><br></em>
        

Senior Marketing GTM Analytics Manager


          The Senior Assortment Analyst owns the analytical framework behind assortment planning, productivity measurement, and new item performance. This role sets the SKU-level methodology the business plans against and delivers the recommendations that shape what we carry, how deep we buy, and when we exit.<br><br>Working within the Merchandise Planning &amp; Analytics organization, the Senior Analyst designs and owns assortment productivity reporting, leads rationalization analysis end to end, and owns the analytical model behind new product introduction forecasting and post-launch scorecarding. The role also sets analytical standards for the team and provides technical guidance to less experienced analysts.<br><br>This is a senior individual contributor role with direct influence over assortment decisions, regular exposure to Merchant and Planning leadership, and a clear path toward Manager-level roles in merchandise planning or analytics.<br><br><strong>Key Responsibilities<br><br></strong><strong>Assortment Analytics<br><br></strong><ul><li>Own assortment productivity reporting: design, own, and continuously improve SKU and category-level reporting covering velocity, sell-through, margin contribution, and inventory productivity; establish the definitions and data lineage the organization plans against</li><li>Lead rationalization analysis: own the analytical case for tail SKU exit, consolidation, and transition; quantify the sales, margin, and productivity impact and present recommendations directly to Merchant and Planning leadership</li><li>Own depth and breadth methodology: build and maintain the models that determine how deeply the business invests in individual items and programs, including price point coverage and good-better-best architecture</li><li>Size the whitespace opportunity: lead market, consumer, and competitive analysis that identifies assortment gaps, quantifies the opportunity, and informs line review strategy</li><li>Set analytical standards: define the methodology, assumptions, and QA standards used across assortment analytics, and review the work of junior analysts for accuracy and rigor<br><br></li></ul><strong>New Item &amp; Program Performance<br><br></strong><ul><li>Own launch scorecards: build and own pre- and post-launch performance scorecards; diagnose forecast variance and translate the findings into forward-looking assumptions</li><li>Own transition analytics: lead item transition and end-of-life analysis to ensure clean exits, protected margin, and minimal residual inventory exposure</li><li>Improve forecast accuracy: partner with Demand Planning to refine new item forecast methodology using post-launch performance and read-and-react learning<br><br></li></ul><strong>Reporting &amp; Partnership<br><br></strong><ul><li>Deliver executive-ready analytics: produce assortment reporting on an established cadence and translate it into a clear point of view for senior leadership, not just a set of numbers</li><li>Advise Merchants and Planners: act as the analytical partner of record for assigned categories, shaping the question as often as answering it and challenging assumptions where the data warrants</li><li>Lead complex ad hoc analysis: scope, structure, and deliver the ambiguous, high-stakes analysis behind in-season decisions and line review preparation</li><li>Build scalable tooling: automate recurring analysis and move the team toward self-service reporting so analytical capacity shifts from production to interpretation<br><br></li></ul><strong>Success Metrics<br><br></strong>In the first 12 months, the Senior Analyst, Assortment Planning will be evaluated on:<br><br><ul><li>Analytical Ownership: Assortment productivity reporting owned end to end, delivered accurately and on cadence, and adopted as the standing input to line reviews</li><li>Rationalization Impact: Rationalization analysis led through at least one full cycle, with quantified and realized productivity improvement</li><li>Influence: Recognized by Merchant and Planning leadership as a trusted advisor whose analysis changes decisions</li><li>Capability Building: Demonstrable improvement in the automation and consistency of assortment reporting, and evidence of developing junior analysts<br><br></li></ul><strong>Who We Are<br><br></strong>At Bob&#x2019;s, we have fun, we love what we do, and it shows in our expansive growth! Bob&#x2019;s Discount Furniture is more than just a furniture store. We are one of the fastest growing omni-channel furniture retailers in the country.<br><br><strong>How We Will Support You<br><br></strong>At Bob&#x2019;s we understand there are many companies you can choose to work for, so, along with exceptional opportunities for career growth we offer a fun team-oriented work environment and great benefits! Let us tell you more.<br><br><strong>Benefits &amp; Perks-</strong> We&#x2019;ve got you covered! We believe in supporting our employees and their families in the best ways possible is a top priority. We focus on three core wellness pillars: Emotional, Physical and Financial. Below are just some of the benefits that we offer:<br><br><ul><li>Feeling under the weather, we&#x2019;ve got you covered! We offer Nationally provided Medical, Dental and Vision Insurance</li><li>Paid Vacation, Personal Days, Sick Days, Holidays, work anniversary and your Birthday! After all, your birthday should be a holiday</li><li>401(k) Profit Sharing Plan with a Generous Company match!</li><li>Pet Insurance to help keep your furry friends happy and healthy</li><li>Life insurance &#x2013; Employer-paid basic Life Insurance, with the option to add Voluntary Life Insurance as well!</li><li>Financial Planning, Voluntary Legal Benefits and Wellness Plans</li><li>We already offer value priced furniture, but on top of that we offer a Generous Employee Discount starting on your 1st day!</li><li>Additional Employee Discounts through the &#x201C;Hays Perks discount program&#x201D; offering hundreds of online discounts from your favorite merchants.</li><li>And so much more!<br><br></li></ul><strong>Culture and Core Values-</strong> At Bob&apos;s we have a set of core values that shape the decisions we make every day and help define our company culture. These values comprise what we call &quot;The Bob&apos;s Way.&quot; <strong>Honesty, Integrity, Transparency, Community, Safety, Diversity, Accountability and Fun.<br><br></strong><strong>DIVERSITY IS A CORE VALUE AT BOB&#x2019;S <br><br></strong>At Bob&#x2019;s Discount Furniture, we want you to feel at home. Whether you&#x2019;re shopping with us or a part of the Bob&#x2019;s team, we want you to know that you are valued, appreciated, and free to be who you are.<br><br>We are committed to creating a place as diverse as the communities we serve.<br><br><strong>Learn and Grow- </strong>We believe in developing our team members and helping them grow both personally and professionally! We promote Professional Development: In-person, virtually and offer an infinite library of on-demand classes in Workday Learning. We also offer Tuition Reimbursement as well as the BDF Education Foundation Scholarship Program open to employees and their dependents. Want to grow at Bob&#x2019;s professionally? We look to promote from within our organization by having robust succession planning in place to ensure that our team members have the opportunity to advance their careers.<br><br><strong>Qualifications<br><br></strong><strong>Required:<br><br></strong><ul><li>Bachelor&apos;s degree in Business, Finance, Economics, Analytics, Statistics, or a related field</li><li>4&#x2013;7 years of analytical experience, with demonstrated depth in retail merchandising, planning, or analytics</li><li>Advanced Excel skills, including multi-variable modeling, large dataset handling, and building tools other people rely on</li><li>Proficiency in SQL, including the ability to independently source, join, and validate data across systems</li><li>Demonstrated ability to work independently in ambiguous situations and structure analysis without direction</li><li>Strong communication and storytelling skills, with experience presenting analysis and recommendations to senior leadership</li><li>Experience mentoring analysts or reviewing analytical work for quality<br><br></li></ul><strong>Preferred<br><br></strong><ul><li>Proficiency in Power BI, Tableau, or comparable visualization tools, including dashboard design</li><li>Furniture, home, or big-ticket retail experience</li><li>Hands-on experience with assortment planning or demand planning systems (e.g., Logility, o9, Blue Yonder)</li><li>Exposure to Python, R, or comparable tooling for advanced analysis<br><br></li></ul><strong>Expected Base Pay Not Including Potential Commissions, Incentive, Bonus, etc. Opportunities:<br><br></strong>$80,000 - $100,000<br><br><em>It is policy of Bob&#x2019;s Discount Furniture, Inc., to provide equal employment opportunity to all employees and applicants for employment. No person shall be discriminated against or harassed because of race, religion, color, sex, age, national origin, disability, pregnancy, citizenship, veteran or military status, or any other protected status in accordance with federal, state or local law.<br><br></em><em>If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact </em><em>talentacquistionteam@mybobs.com</em><em>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.</em>
        

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