<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

<p><a href="https://himalayas.app/companies/clinchoice">ClinChoice</a> is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior/ Principal Statistician to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes.</p><p>We are seeking an experienced <strong>Senior/Principal Statistician</strong><strong>Consultant </strong>to provide statistical leadership and expertise across clinical development programs within the pharmaceutical industry. The successful candidate will contribute to clinical trial design, statistical methodology, data analysis, and regulatory submissions while collaborating with cross-functional teams to support evidence generation and informed decision-making throughout drug development.</p><p><strong>Key Responsibilities</strong><br>Provide statistical leadership across clinical development programs, from early-phase studies through late-phase clinical trials.<br>Lead clinical trial design, including endpoint selection, sample size calculations, power analyses, and randomization strategies.<br>Develop and review clinical study protocols, statistical analysis plans (SAPs), and other statistical documentation.<br>Oversee statistical analyses and interpretation of clinical trial data to ensure scientific rigor and regulatory compliance.<br>Provide statistical expertise for regulatory submissions and interactions with health authorities, including the FDA and EMA.<br>Collaborate with Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing teams.<br>Review statistical outputs, including tables, listings, and figures (TLFs), to ensure accuracy and consistency with analysis plans.<br>Apply appropriate statistical methodologies to address complex clinical trial design and analysis challenges.<br>Contribute to clinical study reports (CSRs), integrated summaries of safety and efficacy, and other regulatory documents.<br>Identify statistical risks and recommend appropriate solutions throughout the clinical development process.<br>Provide technical guidance and mentorship to statisticians and other team members, as appropriate.<br><br><strong>Required Qualifications and Experience</strong><br>PhD in Statistics, Biostatistics, or a related quantitative discipline; a Master's degree with substantial relevant experience may also be considered.<br>Significant experience in biostatistics within the pharmaceutical, biotechnology, or clinical research industry.<br>Strong knowledge of clinical trial design, statistical inference, sample size determination, power calculations, and statistical analysis methodologies.<br>Proven experience developing and reviewing statistical analysis plans, clinical study protocols, and clinical study reports.<br>Familiarity with regulatory requirements and guidance applicable to clinical development and statistical analyses.<br>Experience supporting clinical development programs in <strong>oncology, rare diseases, and/or neuroscience.</strong><br>Experience supporting regulatory submissions and health authority interactions.<br>Experience with complex clinical trial designs and advanced statistical methodologies.<br>Proficiency in statistical programming tools such as SAS and/or R.<br>Strong analytical, problem-solving, communication, and stakeholder-management skills.<br>Ability to work independently and collaborate effectively with global cross-functional teams.</p><h3>
<br>The Application Process</h3><p>Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.</p><h3>Who will you be working for?</h3><h3>About <a href="https://himalayas.app/companies/clinchoice">ClinChoice</a>
</h3><p><a href="https://himalayas.app/companies/clinchoice">ClinChoice</a> is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.           </p><h3>Our Company Ethos</h3><p>Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all <a href="https://himalayas.app/companies/clinchoice">ClinChoice</a> activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates.</p><p><a href="https://himalayas.app/companies/clinchoice">ClinChoice</a> is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.</p><h3>   #contract</h3><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

2027 Hiring Opportunities – Senior/Principal Statistician Consultant  (Remote in

<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

<h3><strong><a href="https://jobicy.com/company/thumbtack" target="_blank" rel="noopener">Thumbtack</a> helps millions of people confidently care for their homes.</strong></h3>
<p>Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.</p>
<h3><strong>About the Applied Science Team</strong></h3>
<p>We’re looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well.</p>
<p>At Thumbtack, the Applied Science team is responsible for a wide variety of problems spanning AI, machine learning, statistics, and computer science:</p>
<ul>
<li>
<p><em>Improve customer and service provider matching.</em> Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform.</p>
</li>
<li>
<p><em>Model complex relationships in the presence of many confounding factors.</em> Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack’s product and marketing.</p>
</li>
<li>
<p><em>Characterize marketplace dynamics.</em> Thumbtack’s marketplaces consist of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets.</p>
</li>
<li>
<p><em>Build AI features.</em> Use state-of-the-art approaches such as large language models (LLMs), reinforcement learning and agentic workflows to enhance customer / pro experience, increase acquisition and marketplace efficiency, and to automate and enhance internal processes.</p>
</li>
<li>
<p><em>Build a healthy marketplace.</em> We evolve and manage the monetization mechanics of our marketplace, including defining the parameters that affect the prices we charge.</p>
</li>
</ul>
<h3><strong>The challenge</strong></h3>
<p>Thumbtack constantly works to balance supply and demand across thousands of local markets and hundreds of service categories. The Pro Growth pod is responsible for the science behind acquiring and activating the right pros, at the right time, in the right markets, to keep the marketplace healthy and growing. As an Applied Scientist on Pro Growth, you’ll build models and experiments that shape who joins Thumbtack, how they get activated, how we forecast supply needs by market and trade, and how we accelerate time-to-value for new pros. We leverage machine learning, causal inference, and optimization to strategically grow and shape our pro supply base. Our work directly contributes to meeting demand projections, unlocking strategic partnerships, and ultimately enhancing customer experience and platform growth by ensuring a robust and high-quality supply of pros.</p>
<p>You’ll work shoulder-to-shoulder with engineers, product managers, and other applied scientists on a portfolio that ranges from incrementality and market forecasting to LLM-powered onboarding agents. You’ll own end-to-end: from problem framing, through experiment design, through deploying models to production, through measuring business impact.</p>

<h3><strong>What you’ll do</strong></h3>
<ul>
<li>
<p>Initiate and drive applied science projects to completion, with a focus on the business impact of those projects on pro acquisition, activation, retention, and supply health.</p>
</li>
<li>
<p>Develop, deploy, and optimize machine learning models for supply-side problems, including: lead scoring and pro acquisition targeting, market-level supply forecasting, pro onboarding and activation, retention and churn prediction, and agentic onboarding workflows.</p>
</li>
<li>
<p>Design and execute well-powered marketplace experiments to measure model and product impact on supply and business metrics.</p>
</li>
<li>
<p>Analyze structured and unstructured data such as marketplace interactions, pro profiles, external supply signals, to identify trends, opportunities, and risks related to supply health.</p>
</li>
<li>
<p>Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of ML systems in production.</p>
</li>
<li>
<p>Maintain the right balance between speed of execution and scientific rigor when designing solutions for a fast-paced marketplace environment.</p>
</li>
<li>
<p>Contribute to evolving the team’s agentic-first ways of working, including LLM-powered tooling, eval coverage, and the use of AI agents in day-to-day applied science.</p>
</li>
</ul>
<h3><strong>In order to be successful, you must bring</strong></h3>
<ul>
<li>
<p>Master’s degree in a quantitative field (Computer Science, Machine Learning, Statistics, Operations Research, Economics, or related), or equivalent industry experience.</p>
</li>
<li>
<p>3+ years of industry experience as an applied scientist, data scientist, or ML engineer with ownership of production ML models.</p>
</li>
<li>
<p>Experience in applied science within a marketplace, supply chain, or growth domain.</p>
</li>
<li>
<p>Solid knowledge of machine learning techniques such as classification, regression, embedding-based approaches, and causal inference.</p>
</li>
<li>
<p>Familiarity with modern LLMs (OpenAI, Anthropic Claude, Gemini, AWS Bedrock) and experience with agentic AI development practices and tools.</p>
</li>
<li>
<p>Good knowledge of probability, statistics, and econometric methods, including experimental design, causal inference, and optimization.</p>
</li>
<li>
<p>Experience with large-scale distributed systems (Spark, Databricks, or similar).</p>
</li>
<li>
<p>Ability to effectively read, write, and debug code in programming languages such as Python and SQL.</p>
</li>
<li>
<p>Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects.</p>
</li>
<li>
<p>Ability to communicate clearly and effectively to cross-functional partners of various technical levels.</p>
</li>
<li>
<p>Demonstrated ability to drive seamless execution end-to-end on at least one production ML project.</p>
</li>
</ul>
<h3><strong>Expected salary ranges</strong></h3>
<ul>
<li>
<p>For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $161,500 - $209,000 </p>
</li>
</ul>
<p>Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.</p>
<p>Note: Thumbtack uses AI tools to support our resume screening process. However, our Recruiting team’s expertise and judgment guide hiring decisions.</p>
<p>Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.</p>
<p>Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.</p>
<p>Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: <a href="mailto:recruitingops@thumbtack.com" rel="nofollow ugc noopener" target="_blank"><u>recruitingops@thumbtack.com</u></a>.</p>
<p>For information about how Thumbtack collects, uses, and shares personal information about job applicants, please see our <a href="https://www.thumbtack.com/job-applicant-privacy-policy" rel="nofollow ugc noopener" target="_blank"><u>Job Applicant Privacy Policy</u></a>.</p>
<p>We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. <a href="https://careers.thumbtack.com/recruiting-scams" rel="nofollow ugc noopener" target="_blank"><u>Check out our blueprint on how to spot the fakes.</u></a></p>

Applied Scientist, Pro Growth


          <strong>Company Description</strong> EgoTECHworld is a trusted technology partner offering cutting-edge IT solutions and opportunities to gain practical industry experience. The company provides a diverse range of services and resources designed to support organizations and individuals navigating the evolving tech landscape. Team members contribute to insightful tech content and solution development that help clients stay competitive and informed. Joining EgoTECHworld means working in a dynamic, knowledge-driven environment with a strong focus on innovation and continuous learning.<br><strong>Role Description</strong> The Business Intelligence Analyst is a full-time remote role responsible for turning data into actionable insights that support strategic and operational decisions. Day-to-day tasks include gathering and validating data from multiple sources, building data models, and developing dashboards and reports using business intelligence tools. The analyst collaborates with business stakeholders to understand requirements, translate them into technical specifications, and recommend data-driven solutions. This role also involves monitoring key performance indicators, identifying trends and anomalies, and presenting findings in clear, concise formats to technical and non-technical audiences.<br><strong>Qualifications<br></strong> <br><ul><li>Strong analytical skills with the ability to interpret complex datasets and identify meaningful patterns.</li><li>Proficiency in data modeling and designing efficient data structures to support reporting and analysis.</li><li>Experience creating dashboards and visualizations that clearly communicate key metrics and insights.</li><li>Hands-on experience with business intelligence tools and platforms used for reporting and analytics.</li><li>Background in business analysis, including gathering requirements and translating them into data solutions.</li><li>Knowledge of SQL and relational databases; experience with data warehousing concepts is a plus.</li><li>Bachelor&#x2019;s degree in Information Systems, Data Science, Business, or a related field, or equivalent practical experience.</li><li>Strong communication and collaboration skills, with the ability to work effectively in a remote, cross-functional environment.</li></ul>
        

Business Intelligence Analyst


          <p><strong>Principal Biostatistician | Global CRO | FSP | Home Based | UK | Europe | Permanent |</strong></p><p><br></p><p>Our client, a leading global CRO, is seeking an experienced Principal Biostatistician to join a dedicated FSP team, supporting real-world evidence, pharmacoepidemiology, outcomes research, and non-interventional study programmes.</p><p><br></p><p>This is an excellent opportunity for a senior statistician with strong real-world data experience to work across impactful studies using electronic health records, claims data, registries, and other real-world data sources. You will provide statistical leadership across non-interventional studies, safety and comparative effectiveness research, and pharmacoepidemiology projects, partnering closely with clients, internal teams, and cross-functional stakeholders.</p><p><br></p><p>This position can be home-based across Europe, including UK, Bulgaria, Hungary, Poland, Romania</p><p><br></p><p><strong>What you will be doing:</strong></p><ul><li>Lead statistical activities across real-world evidence, pharmacoepidemiology, and non-interventional studies</li><li>Contribute to and review protocols, statistical analysis plans, and study reports</li><li>Scope, design, and deliver analyses using real-world data sources including EHR, claims, and registries</li><li>Apply pharmacoepidemiologic methods to safety and comparative effectiveness research</li><li>Provide statistical leadership and scientific input to cross-functional teams and clients</li></ul><p><br></p><p><strong>What you will need:</strong></p><ul><li>MSc or PhD in Biostatistics, Statistics, or a related discipline</li><li>9+ years&apos; biostatistics experience with an MSc, or 7+ years with a PhD</li><li>Strong experience in real-world evidence, pharmacoepidemiology, and non-interventional study methodology</li><li>Proven expertise working with real-world data sources including EHR, claims, and registries</li><li>Strong R programming skills (essential)</li><li>Experience authoring and reviewing protocols and Statistical Analysis Plans (SAPs)</li><li>Solid understanding of biases associated with claims data (particularly US claims) and EHR analyses</li><li>Experience with study designs such as cohort, self-controlled, and target trial emulation studies</li><li>Knowledge of analytical methods including propensity scores, clone-censor-weighting, and time-to-event analyses</li><li>Vaccines and/or infectious disease experience would be advantageous</li></ul><p><br></p><p><strong>What&#x2019;s in it for you:</strong></p><ul><li>Competitive salary + benefits package including medical, dental, vision, pension, fitness subsidy &amp; life insurance</li><li>Fully home-based across Europe, including UK, Bulgaria, Hungary, Poland, Romania</li><li>Opportunity to work within a dedicated FSP model with a leading global CRO</li><li>Exposure to high-impact real-world evidence, pharmacoepidemiology, and outcomes research studies</li><li>Excellent long-term career development and progression opportunities</li></ul><p><br></p><p><strong>What to do next:</strong></p><p>If this opportunity is of interest, please apply now with your CV as the organisation is looking to welcome an experienced Principal Biostatistician to the team as soon as possible.</p><p><br></p><p><strong>Not what you&#x2019;re looking for?</strong></p><p>Please contact Jo Fornaciari at jo@warmanobrien.com for a confidential discussion about potential other opportunities in the UK and across Europe.</p>
        

Principal Statistician


          <strong>Population Health Informaticist (AI Training)<br><br></strong><strong>About The Role<br><br></strong>At Alignerr, we partner with the world&apos;s leading AI research teams and labs to build and train cutting-edge AI models. We&apos;re looking for Population Health Informaticists to bring their expertise to projects that sit at the intersection of public health and artificial intelligence.<br><br>Your deep knowledge of population-level health data will directly inform how AI understands, analyzes, and interprets complex health systems &#x2014; making a meaningful difference in how tomorrow&apos;s AI tools approach healthcare challenges.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10&#x2013;40 hours/week<br><br></li></ul><strong>What You&apos;ll Do<br><br></strong><ul><li>Apply your population health expertise to evaluate and improve AI-generated analyses, outputs, and recommendations</li><li>Collect, integrate, and assess population health metrics to identify trends, disparities, and opportunities for improving health outcomes</li><li>Design and review dashboards, data pipelines, and reporting frameworks that support health monitoring, surveillance, and decision-making</li><li>Translate complex analytical insights into clear, actionable strategies and data-driven recommendations</li><li>Provide structured feedback on the accuracy, relevance, and quality of AI outputs in public health contexts</li><li>Work independently and asynchronously on your own schedule<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Hands-on experience working with healthcare, public health, or population-level datasets</li><li>Strong analytical skills with the ability to interpret large-scale health data</li><li>Proficiency in data visualization and reporting tools &#x2014; dashboards, pipelines, and surveillance frameworks</li><li>Skilled at communicating complex data insights clearly to diverse stakeholders</li><li>Detail-oriented with a commitment to accuracy and data quality</li><li>Self-motivated and comfortable working independently on task-based assignments<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Prior experience with data annotation, data quality assessment, or evaluation systems</li><li>Background in epidemiology, biostatistics, or health informatics</li><li>Familiarity with AI or machine learning workflows in health contexts</li><li>Experience with tools such as Tableau, Power BI, Python, R, or SQL<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work on cutting-edge AI projects with top research labs and AI teams</li><li>Fully remote and flexible &#x2014; work on your own schedule, wherever you are</li><li>Freelance perks: autonomy, variety, and collaboration with experts across the globe</li><li>Contribute to meaningful work that shapes how AI approaches population health</li><li>Potential for ongoing work and contract extension</li></ul>
        

Population Health Informaticist


          <p>Senior Business Intelligence Analyst</p><p>Remote</p><p>&#xA3;70,000 - &#xA3;90,000</p><p><br></p><p>Looking for a Business Intelligence Analyst role where your insights directly influence business decisions? This is an opportunity to join a fast-growing digital business where data sits at the heart of strategy, product development, and commercial growth. You&apos;ll work across multiple business functions, delivering actionable insights and building reporting solutions that drive measurable impact.</p><p><br></p><p><strong>The Company</strong></p><p>This organisation is an innovative digital business experiencing significant growth and expansion. They have built a strong data-driven culture where analytics plays a central role in shaping decision-making across the organisation. With a collaborative and ambitious environment, they offer the opportunity to work on high-impact projects alongside stakeholders across product, commercial, marketing, and operational teams. As they continue to scale, data and analytics remain a key investment area.</p><p><br></p><p><strong>The Role</strong></p><p>As a BI Analyst, you will bridge the gap between business challenges and data-driven solutions, helping stakeholders make smarter decisions through analysis, reporting, and strategic insight.</p><p>Responsibilities include:</p><ul><li>Translating business questions into structured analytical projects and actionable recommendations</li><li>Building and maintaining high-quality dashboards and reporting solutions</li><li>Creating self-service analytics tools that empower stakeholders to access insights independently</li><li>Partnering with teams across Product, Growth, Commercial, and Operations</li><li>Identifying trends, risks, and opportunities through detailed data analysis</li><li>Communicating findings effectively to both technical and non-technical audiences</li><li>Supporting experimentation, customer insight projects, and broader strategic initiatives</li><li>Contributing to the development of data best practices and analytics capabilities across the business</li></ul><p><br></p><p><strong>Your Skills &amp; Experience</strong></p><ul><li>Strong commercial experience in data analytics</li><li>Advanced SQL skills and excellent analytical problem-solving capability</li><li>Strong business intelligence experience, ideally with tools such as Omni, Looker, or similar platforms</li><li>Experience building dashboards from stakeholder discovery through to implementation and optimisation</li><li>Ability to turn complex data into clear stories and recommendations</li><li>Experience influencing stakeholders across multiple functions</li><li>Strong communication and relationship-building skills</li><li>Comfortable working in a fast-paced, evolving environment</li><li>Exposure to Python, dbt, or analytics engineering would be beneficial</li><li>Experience within online gaming, betting, entertainment, or consumer digital businesses is advantageous</li></ul><p><br></p><p><strong>What They Offer</strong></p><ul><li>Salary between &#xA3;70,000 and &#xA3;90,000</li><li>Fully remote working across the UK</li><li>Private healthcare package</li><li>Income protection cover</li><li>Enhanced holiday allowance with tenure-based increases</li><li>Home office setup support</li><li>Additional salary sacrifice and employee discount schemes</li><li>Regular team events and collaborative development opportunities</li><li>The chance to play a key role in shaping analytics within a growing business</li></ul><p><br></p><p><strong>How to Apply</strong></p><p>If you&apos;re a commercially focused Senior BI Analyst looking for a high-impact remote opportunity, apply today through Harnham to learn more.</p>
        


          <p><strong>Company Description</strong></p><p>Ededge Learning is a ground-breaking organization dedicated to nurturing the potential of our youth and empowering them to explore the vast world of technology and other high-growth fields. Our upcoming initiatives will provide invaluable learning experiences by allowing audiences to gain insights from accomplished leaders, who will share not only their successes but also their journeys through failure. Despite our accomplishments, we remain dedicated to continuous growth, as our ultimate goal is to advance collectively as an organization and as a community. We elevate the industry of Ed-Tech by bringing in the training in the specific fields along with the industry experience.</p><p><br></p><p><strong>Visit Our Website to know about us :</strong> www.ededgelearning.com</p><p><br></p><p><strong>Role Description</strong></p><p>This is a remote internship role for a Data Analytics Internship &amp; Training Program. The role will involve day-to-day tasks related to data analytics, including data management, data analysis, data modelling, and developing analytical skills. The intern will have the opportunity to work on real-world data projects and gain practical experience in the field of data analytics.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Work closely with our esteemed data science team to gather, refine, and analyse extensive datasets, refining skills in data pre-processing and visualization.</li><li>Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures.</li><li>Utilize Python programming for Exploratory Data Analysis (EDA) in practical business contexts, with a focus on risk analytics in banking and finance.</li><li>Acquire and apply advanced analytical techniques using tools like Tableau.</li><li>Create reports and presentations to effectively convey data analysis methodologies and findings.</li></ul><p><br></p><p><strong>Qualifications</strong></p><ul><li>Strong problem-solving and critical thinking abilities</li><li>Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.</li><li>Excellent communication and teamwork skills</li><li>Ability to work independently and remotely</li></ul><p><br></p><p><strong>Location: </strong>Remote</p><p><br></p><p><strong>Note :</strong> This is an <strong>unpaid </strong>internship. Upon application, our team will contact you to proceed with the application details and joining process.</p>
        

Data Analyst Intern


          <p><strong>About the Company</strong></p><p>We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.</p><p><br></p><p><strong>About the Role</strong></p><ul><li>Role: Data Platform Analyst</li><li>Location: Home-based</li><li>Working Arrangement: Fully remote, with very occasional travel</li><li>Salary: &#xA3;32,500 per annum</li></ul><p><br></p><p>Do you enjoy working with data, solving problems and making sure information is accurate, reliable and useful? We&#x2019;re looking for a Data Platform Analyst to join an established team and help support the day-to-day running and continued improvement of a cloud-based data platform.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>You&#x2019;ll work across a range of systems, helping to make sure data moves accurately between CRM platforms, payment systems and the wider data environment.</li><li>You&#x2019;ll also have the opportunity to work on data extracts, reporting and analysis that support teams across the organisation.</li><li>A big part of the role will involve using SQL, Python and Snowflake to produce datasets and analytical outputs, as well as maintaining data mappings, transformations and integrations between different business systems.</li><li>You&#x2019;ll investigate and resolve data quality, reconciliation and integration issues, working with both technical teams and business stakeholders to understand what has gone wrong and put the right fix in place.</li><li>You&#x2019;ll also support KPI reporting, dashboards and complex data selections, including segmentation and audience analysis.</li><li>There will be plenty of scope to improve existing processes too, particularly through automation and scripting to reduce manual work.</li><li>Alongside the technical side, you&#x2019;ll help maintain documentation, process maps and procedures, while supporting good data governance and making sure information is handled in line with organisational policies and GDPR requirements.</li><li>If you&#x2019;re looking for a role where you can use your data skills across a varied environment and have a genuine impact on how data is managed and used, please apply now or get in touch to find out more.</li></ul><p><br></p><p><strong>Required Skills</strong></p><ul><li>You&#x2019;ll need experience working with Python and SQL, alongside an understanding of data integration, mapping and transformation.</li><li>Experience with cloud-based data platforms such as Snowflake, CRM systems and troubleshooting data quality or integration issues would be particularly useful.</li><li>This would suit someone who enjoys getting into the detail of data but can also explain technical information clearly to people who aren&#x2019;t technical.</li><li>Attention to detail, good organisation and the ability to manage deadlines are important.</li></ul><p><br></p><p><strong>Pay range and compensation package</strong></p><ul><li>Salary: &#xA3;32,500 per annum</li></ul><p><br></p><p><strong>Equal Opportunity Statement</strong></p><p>We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.</p><p><br></p>
        

Data Platform Analyst

<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


          <strong>Allow us to introduce ourselves<br><br></strong>Hello there! We&#x2019;re Appinio, a global market research company that combines an AI-powered insights platform with expert consultancy. On a mission to make the world a little more fact-based, we help companies understand how consumers think and make smarter decisions.<br><br>We started out in Hamburg back in 2014, but we&#x2019;re now humbled to call the world our playground, with over <strong>260 employees</strong> spread across <strong>13 countries </strong>(we&#x2019;re remote-first), 2600+ international clients, delivering research from <strong>+190 markets,</strong> globally.<br><br>Want to be a part of the Appinio movement? <strong>&#x1F680;<br><br></strong>Here at Appinio, we value <strong>transparency</strong> <strong>in our recruitment process</strong>, and we&apos;ve created a blog to share what to expect during each step of our journey together:<strong> here<br><br></strong><strong>Your mission as a (Senior) Research Consultant<br><br></strong>We are looking for a <strong>(Senior)</strong><strong> Research Consultant (m/f/d) </strong>with a strong quantitative market research background to join our newly dedicated B2B research team in the DACH region.<br><br>This specialized unit focuses on research projects that specifically survey B2B target groups, professional decision-makers, and niche business audiences (rather than only standard B2C consumer panels). You will work closely with leading global strategy and management consultancies as well as major international corporates, supporting high-stakes projects where research needs to be delivered quickly, precisely, and with a clear focus on the business question.<br><br><strong>What you&#x2019;ll be doing<br><br></strong><ul><li>End-to-End B2B Project Lead: Manage quantitative research projects end-to-end, including B2B screening design, questionnaire drafting, platform setup, fieldwork monitoring, and data delivery.</li><li>Methodology &amp; Study Design: Optimise bespoke study designs across core use cases (e.g., Target Group Analysis, U&amp;A, Pricing studies, Concept Testing) mainly tailored to hard-to-reach professional audiences.</li><li>Senior Client Sparring &amp; Advisory: Act as a trusted research partner to leading global consulting firms and major corporate clients. Work directly with experienced consultants and senior stakeholders to translate business questions into robust research approaches, advise on sample feasibility and survey methodology, and make pragmatic decisions when timelines are tight.</li><li>Commercial &amp; Scoping Collaboration: Partner closely with Sales and Account Management on project scoping, feasibility checks, and methodology definition for complex project requests.</li><li>Process &amp; Quality Enhancement: Contribute to standardizing B2B screening protocols, sampling frameworks, and best practices to coach other researcher and safeguard delivery speed and research quality across the team.<br><br></li></ul><strong>You will thrive in this role if<br><br></strong><ul><li>You have 5+ years of experience in quantitative market research with a distinct focus on surveying B2B target groups and professional decision-makers (agency or consulting background required; pure academic or non-client backgrounds will not fit this role).</li><li>You have hands-on experience designing studies, writing questionnaires, and executing quantitative projects across core B2B use cases (e.g., U&amp;A, Pricing studies, Concept Testing, Target Group Analysis).</li><li>You bring proven experience creating executive-ready reports and presenting complex data through clear, compelling storytelling to senior client-side stakeholders.</li><li>You possess a strategic, commercially minded approach with the self-confidence to guide clients and defend research decisions under pressure.</li><li>You excel in high-velocity environments, with a demonstrated ability to juggle multiple concurrent projects, prioritize effectively, and stay calm under tight deadlines.</li><li>You are proficient in German (C2 level required) and English, with outstanding written and verbal communication skills.</li><li>You bring a pragmatic, proactive, and resilient mindset with a passion for data quality and innovation.<br><br></li></ul><strong>What&#x2019;s in it for you?<br><br></strong><ul><li><strong>Flexibility Policy</strong> - Our flexibility policy means there is no hard cap on the number of vacation days you can take</li><li><strong>Temporary work from abroad - </strong>If you&apos;re based in the EU, you can work outside your country of residence for up to 180 days per year</li><li>All the hardware you need and your own MacBook</li><li>If you are located in Hamburg or Berlin, you&apos;ll get a Deutschland ticket or access to a mobility budget with the NAVIT app to get you to and from the office space</li><li>Subsidised Urban Sports Club or ClassPass membership based on location</li><li>In case you&#x2019;re located in one of the cities where most of our fellow Appinioneers are (Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York), you can get access to our Co-working spaces<br><br></li></ul><strong>Kind reminder:</strong> Please ensure that your application is submitted in English.<br><br><em>This post not only outlines our ideal candidate but also serves as an inspiration for what this role can evolve into. Even if you consider yourself an 80% fit but have a genuine passion for this position, we encourage you to apply. We&apos;re eager to hear from individuals who share our enthusiasm.<br><br></em><em>Appinio is an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.<br><br></em><strong>Please read our privacy policy here.<br><br></strong><strong>Learn more about us:<br><br></strong> appinio.com  LinkedIn  Xing  Kununu  Instagram
        

(Senior) B2B Insights Consultant DACH (m/f/d)


          Europe Portugal LE_0155-Grohe Portugal Componentes Sanitarios Lda. Employee Assignment Fully remote possible Full Time 21 September 2026<br><br><strong>Location: Portugal or Poland (Remote)</strong> <strong>Department: Marketing / Integrated Communications<br><br></strong>We are looking for an Activation Performance &amp; Tracking Manager to join our European Marketing team and play a key role in shaping how we measure, analyse, and optimise digital performance across multiple markets. If you thrive in data&#x2011;driven environments, enjoy translating insights into meaningful action, and want to contribute to high&#x2011;impact marketing initiatives across Europe, this role offers an exciting opportunity.<br><br><strong>About The Role<br><br></strong>As the Activation Performance &amp; Tracking Manager, you will be responsible for developing and maintaining the tracking frameworks that underpin our digital activation and website performance strategy. You will work closely with internal stakeholders, external agencies, and cross&#x2011;functional teams to ensure our campaigns and digital touchpoints are measured effectively and continuously improved.<br><br>This is a remote role with occasional travel to our headquarters in Germany for key meetings.<br><br><strong>What You Will Do<br><br></strong><ul><li>Analyse campaign and media performance across European markets</li><li>Track and monitor all activity on the GROHE website</li><li>Build autonomous tracking and reporting structures</li><li>Work with big&#x2011;data dashboards and tools such as Google Analytics and Looker Studio</li><li>Prepare clear, actionable reports and insights for marketing leaders</li><li>Collaborate with UX/UI teams to support optimisation initiatives</li><li>Plan, execute, and track advertising and activation campaigns</li><li>Challenge and steer external agencies to ensure high&#x2011;quality tracking and continuous optimisation</li><li>Conduct activation potential analyses and identify new opportunities</li><li>Support local market teams with training and guidance on tracking, dashboards, and analytics</li><li>Prepare presentations and performance insights for internal stakeholders</li><li>Contribute to data&#x2011;driven decision&#x2011;making across the marketing organisation<br><br></li></ul><strong>What You Bring<br><br></strong><ul><li>University degree in business administration, marketing, IT, or a related field</li><li>Early professional experience in digital or performance marketing</li><li>Strong understanding of business KPIs and the ability to simplify complex data</li><li>Hands&#x2011;on, solution&#x2011;oriented mindset with strong communication skills</li><li>High proficiency in Google Workspace (especially Sheets and Slides)</li><li>Experience with Google Analytics, Looker Studio (formerly Data Studio), Tableau, or similar tools</li><li>Fluency in English; German is an advantage but not required</li><li>Agile, structured working style with a willingness to learn and collaborate<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Flexible and adaptable in a fast&#x2011;moving environment</li><li>Curious, open&#x2011;minded, and eager to explore new ideas</li><li>Comfortable working with diverse stakeholders across multiple countries</li><li>Able to navigate complex digital ecosystems and translate insights into clear recommendations<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Opportunity to work in a multinational environment with high visibility across the organisation</li><li>Be part of a major digital transformation project, including the relaunch of our website structure across 30 markets</li><li>Collaborate with a supportive, experienced marketing team and external partners</li><li>Contribute directly to shaping the future of our digital activation and performance strategy</li></ul>
        

Activation Performance & Tracking Manager


          <p><strong>Data Analysts, Data Quality &amp; Business Data Review Specialists. Remote AI Project</strong></p><p><br></p><p>We are seeking experienced Data Analysts, Business Data Analysts, Data Quality Specialists, Data Reviewers, and Data Governance Professionals to support a high-impact AI training project focused on large-scale business data.</p><p><br></p><p>You will review, analyze, validate, and quality-check datasets and documents while ensuring strict adherence to privacy, security, and personally identifiable information (PII) requirements.</p><p><br></p><p><strong>What You&#x2019;ll Do</strong></p><p><br></p><ul><li>Review and analyze large business datasets</li><li>Validate data for accuracy, completeness, consistency, and relevance</li><li>Identify missing values, duplicate records, anomalies, and incorrect data</li><li>Review documents containing structured and unstructured business information</li><li>Apply strict data privacy and PII-handling requirements</li><li>Identify and flag sensitive or personally identifiable information</li><li>Perform data validation and quality assurance checks</li><li>Investigate data inconsistencies and determine likely root causes</li><li>Document data-quality issues clearly</li><li>Provide recommendations to improve data accuracy and integrity</li><li>Apply project-specific quality standards and review guidelines</li><li>Contribute to the improvement of QA processes, checklists, and evaluation criteria</li><li>Communicate findings clearly to project stakeholders</li><li>Maintain compliance with privacy, security, and data-handling requirements</li><li>Work independently in a remote, distributed project environment</li></ul><p><br></p><p><strong>Who Can Apply</strong></p><p><br></p><p><strong>Relevant backgrounds include:</strong></p><p><br></p><p><strong>Data Analysts, Senior Data Analysts, Business Data Analysts, Business Analysts, Data Quality Analysts, Data Quality Specialists, Data Review Analysts, Data Validation Analysts, Data Integrity Analysts, Data Operations Analysts, and Data Management Analysts.</strong></p><p><br></p><p><strong>We also welcome:</strong></p><p><br></p><p><strong>Quality Analysts, Quality Assurance Analysts, QA Analysts, Data QA Specialists, Data Auditors, Data Reviewers, Quality Reviewers, Quality Control Analysts, QC Analysts, and Data Accuracy Specialists.</strong></p><p><br></p><p><strong>Data governance and privacy backgrounds may include:</strong></p><p><br></p><p><strong>Data Governance Analysts, Data Governance Specialists, Data Privacy Analysts, Privacy Operations Specialists, Information Governance Analysts, Data Compliance Analysts, Data Stewardship Professionals, Data Stewards, and Information Management Specialists.</strong></p><p><br></p><p><strong>Business and operations backgrounds may include:</strong></p><p><br></p><p><strong>Operations Analysts, Business Operations Analysts, Process Analysts, Reporting Analysts, Research Analysts, Risk Analysts, Compliance Analysts, Audit Analysts, and Business Intelligence Analysts with strong data-review experience.</strong></p><p><br></p><p><strong>Document-review backgrounds may include:</strong></p><p><br></p><p><strong>Document Review Specialists, Document Analysts, Records Analysts, Information Management Specialists, Documentation Specialists, Compliance Reviewers, Audit Reviewers, and Quality Assurance Reviewers.</strong></p><p><br></p><p><strong>AI and evaluation backgrounds may include:</strong></p><p><br></p><p><strong>AI Data Analysts, AI Evaluators, Data Annotators, Data Labelers, Human Feedback Specialists, Model Evaluators, AI Quality Analysts, Annotation Quality Specialists, and Rubric Evaluators.</strong></p><p><br></p><p><strong>Relevant Data Analysis Experience</strong></p><p><br></p><p><strong>Strong candidates may have experience with:</strong></p><p><br></p><ul><li>Data cleaning</li><li>Data validation</li><li>Data reconciliation</li><li>Data profiling</li><li>Data auditing</li><li>Data quality assessment</li><li>Data integrity checks</li><li>Duplicate detection</li><li>Missing data analysis</li><li>Outlier detection</li><li>Anomaly detection</li><li>Data standardization</li><li>Data normalization</li><li>Data matching</li><li>Record linkage</li><li>Data enrichment</li><li>Data transformation</li><li>Data verification</li><li>Data classification</li><li>Data annotation</li><li>Data review</li><li>Dataset documentation</li><li>Quality-control workflows</li></ul><p><br></p><p><strong>Requirements</strong></p><p><br></p><ul><li>Professional experience in data analysis, data quality, document review, business analytics, data governance, QA, audit, or a closely related field</li><li>Demonstrated ability to work with large business datasets</li><li>Experience identifying data errors and inconsistencies</li><li>Strong attention to detail</li><li>Ability to review sensitive information carefully</li><li>Understanding of data privacy and PII-handling principles</li><li>Strong analytical and problem-solving skills</li><li>Ability to clearly document findings and recommendations</li><li>Strong written and verbal communication</li><li>Ability to follow detailed quality and privacy guidelines</li><li>Comfortable working independently in a remote environment</li><li>Consistent and reliable delivery of high-quality work</li></ul><p><br></p><p><strong>Preferred Background</strong></p><p><br></p><ul><li>Experience working with personally identifiable information</li><li>Experience with sensitive or confidential business data</li><li>Experience conducting data audits</li><li>Experience with document review</li><li>Experience in data quality assurance</li><li>Experience with privacy compliance or data governance</li><li>Experience building or applying data-quality standards</li><li>Experience reviewing work produced by other analysts</li><li>Experience using Excel, SQL, Python, Tableau, or Power BI</li><li>Experience with CRM, finance, operations, or customer datasets</li><li>Experience creating SOPs, checklists, or QA processes</li></ul><p><br></p><p><strong>This opportunity is ideal for professionals who can look at a large dataset or collection of documents and quickly identify what is missing, inconsistent, inaccurate, sensitive, or potentially risky, then document the issue clearly and help improve overall data quality. We are a referral partner of the client.</strong></p>
        

Data Analyst | €45/hr | Remote


          Europe Portugal LE_0155-Grohe Portugal Componentes Sanitarios Lda. Employee Assignment Fully remote possible Full Time 16 November 2026<br><br>A high&#x2011;visibility role supporting global Operations across the Americas, Asia and Europe. You will act as an extension of the headquarters controlling team, strengthening financial transparency, accuracy and cost optimisation across a complex, international matrix organisation.<br><br><strong>About The Role<br><br></strong>This position consolidates, analyses and reports financial and operational data for the global Fittings &amp; Fixtures Operations division. You will collaborate closely with Procurement, R&amp;D and FP&amp;A, ensuring reliable month&#x2011;end execution, accurate forecasting inputs and strong data foundations for strategic decision&#x2011;making. The environment is international, transparent and improvement&#x2011;driven, with teams across Germany, the US, Mexico, China and Europe.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Data Consolidation &#x2014; Prepare and maintain monthly reporting packages for global Operations.</li><li>Procurement Analysis &#x2014; Track raw material, component and finished goods prices; monitor procurement savings pipeline.</li><li>Month&#x2011;End Close &#x2014; Create accruals and deferrals, calculate FX impacts, perform analyses and prepare management slides.</li><li>Freight &amp; Cost Review &#x2014; Analyse inbound and inter&#x2011;unit freight variances and identify optimisation opportunities.</li><li>Forecasting &amp; Budgeting &#x2014; Collect and align financial inputs from plants, procurement and central functions.</li><li>Standard Costing &#x2014; Support annual standard cost&#x2011;setting and maintain master data and system parameters.</li><li>System Support &#x2014; Assist with rollout and maintenance of automated reporting systems.</li><li>Cross&#x2011;Border Collaboration &#x2014; Work as an extended arm of HQ, ensuring transparent and efficient workflows.<br><br></li></ul><strong>Skills &amp; Experience<br><br></strong><ul><li>Bachelor&#x2019;s degree in Finance, Controlling or Business Administration</li><li>1&#x2013;3 years of controlling experience (operations, plant, business or financial controlling)</li><li>Strong command of Excel / Google Sheets</li><li>Solid understanding of budgeting, forecasting, cost control and accounting principles</li><li>Experience with SAP (MM/FI) and BI tools (SAP BW, IBM Planning Analytics) is an advantage</li><li>Highly organised, detail&#x2011;oriented and able to work independently</li><li>Strong teamwork orientation and intercultural competence</li><li>Fluent English (written and spoken)<br><br></li></ul><strong>Working Environment<br><br></strong><ul><li>Remote role based in Portugal</li><li>Travel to Germany 3&#x2013;4 times per year</li><li>International team across multiple time zones</li><li>Culture focused on transparency, partnership, and continuous improvement</li><li>Broad exposure to Procurement, R&amp;D and FP&amp;A</li><li>Strong development potential within a global organisation<br><br></li></ul><strong>Why This Role Stands Out<br><br></strong><ul><li>Broad visibility across a large matrix organisation</li><li>Opportunity to influence financial and operational decisions</li><li>Collaborative, long&#x2011;tenured teams with excellent team spirit</li><li>Flexible working approach</li><li>Meaningful involvement in global data, systems and process optimisation</li></ul>
        

Operations Controller

<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>

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