<p>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 <a href="https://jobicy.com/company/spotify" target="_blank" rel="noopener">Spotify</a>'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.</p>
<p>Within Personalization, the Speak Team owns the development of Spotify's state-of-the-art speech models, contributing to speech recognition, speech synthesis, and speech-to-speech models. We craft voice models that match human-level emotional expressiveness, so we can deeply engage our listeners and support creators at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice talent pool.</p>
<p>We're looking for a senior applied research scientist with experience in developing novel ML techniques and architectures and with a strong interest in working across a full production pipeline to produce state-of-the-art generative conversational speech-to-speech models. You'll collaborate with our engineering teams to help develop our production pipelines, explore new ideas and methods to improve quality, understanding and realism, as well as push the frontiers of what is possible with our speech technology.</p>
<h3>What You'll Do</h3>
<ul>
<li>Develop and experiment with new methods for speech synthesis and speech recognition, along with end-to-end approaches, building on the latest research and ideas.</li>
<li>Work towards the expansion of our speech use-cases targeting different markets and products.</li>
<li>Be part of a highly motivated research team dedicated to building and creating models at scale to power the Spotify platform.</li>
<li>Champion best practices for research and development, sharing your knowledge and experience with other researchers within Speak.</li>
<li>Collaborate with our engineering and data teams on ideas requiring new infrastructure or new high-quality data, as well as to help improve our speech recognition and speech synthesis pipelines, and help turn proven ideas into scalable products.</li>
</ul>
<h3>Who You Are</h3>
<ul>
<li>You have a strong background in ML (PhD degree on top of professional experience), and experience in working with any of the following: transformers, GANs, diffusion models, flow matching, VAEs, audio codecs.</li>
<li>You have experience in developing generative models for speech synthesis, speech recognition, audio/music, natural language processing, or computer vision.</li>
<li>You have strong experience with Python, particularly PyTorch.</li>
<li>You have strong communication skills and the ability to explain technical ideas with clarity to technical and non-technical people alike.</li>
<li>You have experience in an academic or professional setting conducting high-quality research.</li>
</ul>
<h3>Where You'll Be</h3>
<ul>
<li>This role is based in London or Stockholm.</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>
</ul>
<h3>Compensation</h3>
<h3>Additional Information</h3>
<p>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.</p>
<p>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.</p>

Senior Applied Research Scientist - Personalization


          At UnitedHealthcare, we&apos;re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start<strong> Caring. Connecting. Growing together.<br><br></strong>The Medicare Advantage (MA) Product Capabilities team provides management, strategic oversight, subject matter expertise, data analytics, data delivery and stewardship, and production support for technical assets which deliver Medicare Advantage product and benefit data across the enterprise. Our focus is to create sustainable solutions that drive efficiencies in operations where Medicare Advantage product data is needed.<br><br>The Sr Product Data Analyst is a business-facing position that will specialize in managing eligibility and benefit programs, supporting vendors that administer supplemental Medicare Advantage benefits (such as fitness or transportation). Vendors and internal stakeholders consistently require data and ad-hoc analysis. This role ensures eligibility data is accurate, compliant with CMS regulations and UHG standards, and is delivered in accordance with established business requirements.<br><br>The position requires a solid analytical mindset and the ability to understand the business processes and data supported by MA Product, then apply that knowledge to ensure our data products provide a seamless member experience. The role will work closely with team members across UnitedHealth Group, including product owners, account managers, IT partners, and vendors.<br><br>If you reside within a commutable distance of either Minnetonka, MN or Fort Washington, PA, you will have the flexibility to work remotely* as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.<br><br><strong>Primary Responsibilities<br><br></strong><ul><li>Collaborate with external vendors and internal stakeholders to design, implement, and support data solutions</li><li>Investigate, troubleshoot, and work with technology teams to resolve data-related production issues impacting internal stakeholders and external partners</li><li>Support implementation and ongoing management of data exchanges with external vendors and benefit administrators</li><li>Validate, reconcile, and monitor eligibility, utilization, and benefit data to ensure the accuracy of downstream reporting and vendor data exchanges</li><li>Establish a thorough understanding of the business (Medicare Product, Claims, Member eligibility) and collaborate with business subject matter experts (SMEs) to shape solutions, perform analyses, and interpret data</li><li>Engage with leadership teams to support ad-hoc data analysis primarily in SQL Server and Snowflake and present findings</li><li>Deliver high-quality data solutions that adhere to team standards, are scalable as the product grows, and are sustainable with minimal rework</li><li>Demonstrate leadership by independently driving work to completion while effectively collaborating with team members and stakeholders</li><li>Contribute to analysis, problem definition, requirements, and proposed solutions</li><li>Maintain and expand technical expertise through continuing education, industry networking, and evaluation of emerging development tools and programming techniques</li><li>Provide timely status updates and communicate risks, dependencies, and project progress to stakeholders</li><li>Provide technical leadership by driving project teams toward established goals and promoting adherence to established design standards<br><br></li></ul>You&apos;ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.<br><br><strong>Required Qualifications<br><br></strong><ul><li>5+ years of experience developing complex SQL solutions with advanced or expert-level SQL proficiency</li><li>3+ years of experience with scripting or programming languages (Python preferred)</li><li>3+ years of data analysis and reporting experience</li><li>3+ years of experience supporting Medicare Advantage programs, with a solid understanding of the Medicare Advantage line of business<br><br></li></ul><strong>Preferred Qualifications<br><br></strong><ul><li>Experience creating or maintaining Python scripts for ad-hoc file manipulation</li><li>Experience with cloud-based databases (Snowflake, Databricks)</li><li>All employees working remotely will be required to adhere to UnitedHealth Group&apos;s Telecommuter Policy<br><br></li></ul>Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you&apos;ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.<br><br><em>At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.<br><br></em><em>UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.<br><br></em><em>UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.</em>
        

Sr. Product Data Analyst - Medicare Advantage - Remote


          <p><strong>Job Title: Senior Data Analyst</strong></p><p><strong>Remote</strong></p><p><strong>Education</strong></p><p>BA or BS degree with emphasis in Business, Statistics, Analytics, or Marketing. Master&#x2019;s degree in Business, Statistics, Computer Science, or Marketing preferred, or equivalent professional experience.</p><p>10-12 years of Data analysis, predictive modeling, statistical modeling. Working within a business function to support the data building and analysis for business units.</p><p>Record of business process improvement using data and statistical analysis</p><p><br></p><p><strong>Systems/Technical Knowledge:</strong></p><p>Experience using advanced data analytics and geo-spatial applications including, Snowflake, Tableau, Alteryx, AQT, and ArcGIS.</p><p>Strong SQL programming skills.</p><p>Experience with predictive analytics using R and/or Python</p><p>Proficiency in several areas of data modeling, statistical analysis, data engineering and data visualization Experience with databases and similar applications.</p><p>Experience in Access/Excel with VBA scripts, PowerPoint</p>
        

Senior Data Analyst


          <strong>City/State<br><br></strong>Norfolk, VA<br><br><strong>Work Shift<br><br></strong>Multiple shifts available<br><br><strong>Overview:<br><br></strong>Sentara is hiring an Enterprise Analytics Consultant!<br><br>This role is fully remote.<br><br><strong>Overview<br><br></strong>Supports executive leadership and Vice Presidents within the enterprise-wide analytic community, including Enterprise Analytics, Finance, and Strategy. Helps lead and coordinate major cross-functional analytics and governance initiatives in support of Sentara&apos;s top line strategic goals and Enterprise analytics divisional goals. Provides guidance across the analytic community around the development of key analytic models, dashboards, and strategic reporting, especially when cross-functional coordination is required. Takes a key role in developing and administering enterprise-level data governance functions.<br><br>Domain knowledge in the following areas are preferred. While all are not required, the ideal candidate will demonstrate understanding of the following: Data exploration &amp; visualization techniques; statistical and non-statistical modeling and optimization for predictive and prescriptive analytics; analytic programming; database management, including the role of master data management, data quality, ETL, storage, processing, and cloud computing; healthcare electronic medical record systems, billing systems, imaging systems, productivity and financial systems in ambulatory, acute, and post-acute settings. Business acumen around basic finance, accounting, operations, management &amp; marketing.<br><br>Education<br><br><ul><li>Master&#x2019;s degree (Preferred) <br><br><br></li></ul><strong>Experience<br><br></strong><ul><li>5 years of business acumen (Required) </li><li>5 years of statistical analysis experience (Preferred) </li><li>2 years of project management experience (Preferred) </li><li>5 years of analytics experience (Preferred) </li><li>5 years of healthcare industry experience (Preferred) </li><li>Looking for someone who can guide stakeholders, shape analytic direction, influence decisions, and present recommendations to leaders, well-versed in enterprise analytics, strategy, quality, finance, operations, value-based care, and cross-functional initiatives<br><br><br></li></ul>We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full-Time employment is: $106,080.00 - $176,820.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.<br><br>Keywords: Talroo-IT, Enterprise Analytics, healthcare, analytics, healthcare analytics, SQL, Power BI, data strategy, analytic framing, executive communication, value-based care, governance, data quality, care delivery, Excel, Tableau, Power BI, Epic, Acute, Out patient, out-patient, orthopedic, cardiovascular, perioperative, IDN, integrated delivery network, utilization report, cost saving, quality of care, epic certification, epic certified, purple space, health plan, population, readmission quality measures<br><br>We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay range for full-time employment is $122,408.00 - $179,649.60 annually. Additional compensation may be available for this role, such as shift differentials, on-call pay, shift premiums, extra-shift incentives, or bonus opportunities. Compensation within the range may vary based on qualifications, experience, location, market conditions, and business needs. Note: If an annual salary is posted, it is based on a full-time colleague working 2,080 hours annually. Sentara offers a comprehensive benefits package, including medical, dental, vision, life and disability insurance; 401(k)/403(b) with employer match; paid time off (vacation, sick time, and holidays); paid parental and military leave; educational assistance or student loan repayment; and voluntary benefits.<br><br><strong>Benefits: Caring For Your Family and Your Career<br><br></strong><ul><li> Medical, Dental, Vision plans</li><li> Adoption, Fertility and Surrogacy Reimbursement up to $10,000</li><li> Paid Time Off and Sick Leave</li><li> Paid Parental &amp; Family Caregiver Leave</li><li> Emergency Backup Care</li><li> Long-Term, Short-Term Disability, and Critical Illness plans</li><li> Life Insurance</li><li> 401k/403B with Employer Match</li><li> Tuition Assistance &#x2013; $5,250/year and discounted educational opportunities through Guild Education</li><li> Student Debt Pay Down &#x2013; $10,000</li><li>Pet Insurance</li><li>Legal Resources Plan</li><li>Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.<br><br><br></li></ul><strong>Sentara Health is an equal opportunity employer</strong> and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.<br><br>In support of our mission &#x201C;to improve health every day,&#x201D; this is a tobacco-free environment.<br><br><strong>For positions that are available as remote work,</strong> <strong>Sentara Health employs associates in the following states:<br><br></strong>Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
        

Enterprise Analytics Consultant - Remote


          <strong>Job Description<br><br></strong><strong>Grow your career at Cedars-Sinai!<br><br></strong>Building on a legacy of innovation, Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing.<br><br>The organization&#x2019;s Healthtech excellence was acknowledged again, this time by the esteemed &#x201C;<strong>CHIME Digital Health Most Wired</strong>&#x201C; recognition program. Cedars-Sinai was assigned a Level 10&#x2014;the most prestigious level of certification&#x2014;among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.<br><br><strong>Why work here?<br><br></strong>Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for.<br><br><strong>What you will be doing:<br><br></strong>The Senior Health Equity Analyst/ Data Intelligence Analyst works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements support of enterprise data intelligence projects. Creates specifications for reports and analysis based on business/clinical needs and data elements required or available. Produces data sets, reports, ad-hoc requests, dashboards, etc. Conducts data analysis in support of a variety of analytic solutions.<br><br><ul><li>Writes moderately sophisticated structured Query Language (SQL) codes and queries. Analyzes complex problems and issues using data from internal and external sources.</li><li>Demonstrates a strong understanding of report analysis and development. Triages intake of data requests and seeks an understanding of business needs.</li><li>Applies knowledge of healthcare and critical thinking skills in the analysis of business request and makes recommendations for solution/s to solve challenges.</li><li>Provides sophisticated report and data analysis with the help of team members, vendors, and/or other EIS department contacts; provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers. </li><li>Participates in re-engineering, as needed, operational work-flow processes with end-users/business owners.</li><li>Solid understanding of build concepts, Epic migration paths, change control process/governance, and ticket management process.</li><li>Leads and evaluates process and requirements analysis, including process mapping though current flow charts, documents, future needs/plans, requirement elicitation, stakeholder analysis, and specification gathering on complex projects. In addition, using current and projected data, provides recommendations.</li><li>Serves as the primary point of contact for vendor support and assistance for larger and more complex projects as well as in resolving increasingly complex or critical issues in assigned areas. Handles relationship with external vendors.</li><li>Independently provides guidance and leadership on quality assurance and testing initiatives. Demonstrates ability to lead team through complex integrated testing processes. Manages testing projects as necessary.</li><li>Contributes to strategy discussions by proactively identifying options with associated pros and cons with EIS team members and others.</li><li>Approved Remote States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, Texas*<br><br></li></ul><strong>Qualifications<br><br></strong><strong>Experience Requirements:<br><br></strong>Five (5) plus years&#x2019; experience with SQL and demonstrated ability with a range of query tools such as Python, R, Oracle, SAS, Crystal Reports, Business Objects, Microsoft SQL, Tableau, etc.<br><br>Hands on experience performing reporting analysis and developing custom reports.<br><br>Demonstrated understanding of healthcare applications as well as the needs and priorities of patient care providers.<br><br>Familiarity with databases used in patient care, administrative applications for hospitals, and data warehousing technology.<br><br>Experience analyzing basic to moderately sophisticated Clarity report requests, Reporting Workbench and Radar build requests.<br><br>Technical proficiency in Reporting Workbench and Radar build. Able to teach sophisticated Reporting Workbench and Radar build concepts.<br><br>Developing Epic Inpatient Clarity reports, highly desirable.<br><br><strong>Educational Requirements:<br><br></strong>Bachelor&#x2019;s Degree in Computer Science, Information Technology, or related quantitative field.<br><br>Epic Clarity Certification preferred. (Epic Inpatient preferred)<br><br>SQL Server certification preferred.<br><br>
        

Senior Data Intelligence Analyst (Health Equity Analyst) - Remote


          <p><strong>This is a Fully Remote Job</strong></p><p><br></p><p><strong>About Our Client:</strong></p><p>Hello Heart operates in the heart health sector, focusing on preventing cardiac events through artificial intelligence. The organization has developed a platform that predicts heart attacks up to 10 days in advance, significantly improving upon traditional clinical models that predict risk over 10 years. Their solution is implemented at scale, reducing inpatient hospital days by 47% and saving approximately $1,800 annually per member. Hello Heart partners with over 80% of large U.S. health plans and serves numerous public and private employers.</p><p><br></p><p><strong>About the Opportunity:</strong></p><p>The SENIOR DATA ANALYST, GTM, will support data-driven decision-making across the organization by analyzing complex data sets and providing insights to various teams. This role contributes by delivering actionable analyses and developing tools that enhance reporting and data accessibility. The position reports to the Analytics Team Lead and offers growth opportunities through collaboration with data scientists, engineers, and cross-functional teams.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Collaborate with Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success teams to identify business needs and provide analyses.</li><li>Explore data to find patterns and opportunities to improve business growth and operations.</li><li>Define and manage data collection requirements to ensure consistent reporting.</li><li>Develop, optimize, and automate data pipelines using SQL, AI, and data engineering tools.</li><li>Create and maintain interactive dashboards for self-service reporting.</li><li>Identify and implement process improvements across data workflows.</li><li>Translate complex data into clear visualizations and presentations for diverse audiences.</li></ul><p><br></p><p><strong>Requirements:</strong></p><ul><li>Bachelor&#x2019;s degree in quantitative or business fields, or equivalent experience.</li><li>Over 5 years of experience with advanced SQL, reporting, data analysis, and visualization.</li><li>Over 5 years of experience with Python for data analytics or data science.</li><li>Over 5 years of experience with BI/Analytics tools such as Looker, Tableau, or PowerBI.</li><li>Experience supporting data needs across multiple departments including marketing, product, and finance.</li></ul><p><br></p><p><strong>Pay Range and Compensation Package:</strong></p><ul><li>The US base salary range for this full-time position is $145,000.00 to $160,000.00. Salary ranges are determined by role and level. Compensation is determined by additional factors, including job-related skills, experience, and relevant education or training. This does not include equity or benefits.</li></ul><p><br></p><p><strong>Equal Opportunity Statement:</strong> Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.</p><p><br></p><p><strong>Note:</strong></p><p>TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.</p>
        

Senior Data Analyst, GTM

<h3><strong>About <a href="https://jobicy.com/company/pleo" target="_blank" rel="noopener">Pleo</a></strong></h3>
<p>Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.</p>
<p>The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.</p>
<p>Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.</p>
<p><strong>About the role</strong> </p>
<p>Pleo's Intelligence function covers the full analytical picture - product behaviour, GTM performance, commercial data science, financial reporting, and operational intelligence. The Analytics Engineers who serve these teams own the data modelling layer that all of it runs on: dbt models, metric definitions, and semantic layer contributions that analysts, product teams, and AI tools depend on to get consistent, trustworthy answers.</p>
<p>You'll be embedded in the Product Intelligence team, building the tracking, experimentation, and data modelling foundations that make product data trustworthy and self-serve. You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus. If you want to build the infrastructure that other people's product decisions run on rather than just report on what exists, this is the opportunity for you.</p>
<p><strong>Who you'll work with and reporting to</strong> </p>
<p>You will report to an Analytics Manager leading Product Intelligence and Growth Intelligence. You'll partner closely with Product Managers, Product Analysts, and Engineering to get tracking, experimentation, and metric definitions right from the ground up. You'll also engage with the broader Analytics Engineering community across Pleo to drive shared standards, especially around the semantic layer that keeps metrics consistent across the organization.</p>
<p><strong>What you'll be doing</strong></p>
<ul>
<li>
<p>Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture and migrating logic off legacy tools as you go.</p>
</li>
<li>
<p>Own tracking plan implementation and QA directly in Segment and Amplitude in close partnership with Product and Engineering.</p>
</li>
<li>
<p>Support experimentation by modelling assignment and outcome data into structured formats that analysts and PMs can query directly.</p>
</li>
<li>
<p>Define and document metrics in our semantic layer, ensuring a single authoritative definition so downstream BI tools and AI applications yield consistent answers.</p>
</li>
<li>
<p>Apply AI-augmented data modelling practices as a standard part of how you write, review, and migrate code.</p>
</li>
<li>
<p>Partner with Product Managers and Analysts to turn one-off questions into durable, reusable data models.</p>
</li>
<li>
<p>Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring.</p>
</li>
</ul>
<p><strong>What you bring</strong></p>
<ul>
<li>
<p>Solid SQL and dbt experience, with a clear comfort owning models end to end.</p>
</li>
<li>
<p>Working knowledge of event-based tracking tools like Segment or Amplitude.</p>
</li>
<li>
<p>Experience with Git-based development workflows, including opening and reviewing pull requests.</p>
</li>
<li>
<p>Clear communication skills to explain data definitions and structures to both technical and non-technical stakeholders.</p>
</li>
<li>
<p>Genuine day-to-day use of AI tooling as part of your standard coding and workflow routine.</p>
</li>
<li>
<p>Comfort navigating ambiguity and untangling legacy logic to build modern foundations.</p>
</li>
</ul>
<p><strong>This role is NOT a good fit if</strong></p>
<ul>
<li>
<p>You only want to write dashboards without touching or owning the underlying data models.</p>
</li>
<li>
<p>You require rigid processes and heavy upfront structure before taking initiative.</p>
</li>
<li>
<p>You prefer to avoid data migration, cleanup work, and legacy system refactoring.</p>
</li>
</ul>
<p><strong>Your first 6 months</strong></p>
<ul>
<li>
<p><strong>Ramp up:</strong> Master our dbt project structure, tracking plans, and migration roadmap while shipping small, reviewed code changes early on.</p>
</li>
<li>
<p><strong>Take ownership:</strong> Own a dedicated slice of the migration, such as an event domain or our core experimentation data models.</p>
</li>
<li>
<p><strong>Drive consistency:</strong> Establish semantic layer definitions for your domain so analysts and PMs can self-serve accurate metrics without custom workarounds.</p>
</li>
</ul>
<p><strong>Our tech stack context</strong></p>
<ul>
<li>
<p><strong>Data warehouse:</strong> GCP / BigQuery (new Analytics Warehouse)</p>
</li>
<li>
<p><strong>Transformation:</strong> dbt</p>
</li>
<li>
<p><strong>Orchestration:</strong> Airflow</p>
</li>
<li>
<p><strong>Tracking and Oroduct Analytics:</strong> Segment, Amplitude</p>
</li>
<li>
<p><strong>BI and Analytics:</strong> Omni (migrating off legacy Looker and Hippocampus)</p>
</li>
<li>
<p><strong>Languages:</strong> SQL</p>
</li>
</ul>
<p><strong>Show me the benefits!</strong></p>
<ul>
<li>
<p>Your own Pleo card (no more out-of-pocket spending!)</p>
</li>
<li>
<p>Lunch is on us for your work days—enjoy catered meals or receive a lunch allowance based on your local office.</p>
</li>
<li>
<p>Comprehensive private healthcare depending on your location (coverage options include Vitality, Alan, or Médis).</p>
</li>
<li>
<p>25 days of annual holiday plus public holidays, with the option to purchase 5 additional days through salary sacrifice.</p>
</li>
<li>
<p>Flexible working options supporting both hybrid and fully remote setups.</p>
</li>
<li>
<p>Free mental health and well-being support through MyndUp.</p>
</li>
<li>
<p>Generous paid parental leave policies to support growing families.</p>
</li>
</ul>
<p><strong>The interview process</strong></p>
<ol>
<li>
<p><strong>Intro Call:</strong> 30 minutes with our Talent Partner</p>
</li>
<li>
<p><strong>SQL Test:</strong> Completed via CoderPad</p>
</li>
<li>
<p><strong>Hiring Manager Interview:</strong> 45 minutes with our Data &amp; Analytics Manager</p>
</li>
<li>
<p><strong>Team Interview &amp; Live Case:</strong> Data modelling case via CodeSignal</p>
</li>
<li>
<p><strong>Final Interview:</strong> 30 minutes with our VP of Data &amp; AI</p>
</li>
</ol>
<p>Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success!</p>
<p>Last time we hired an Analytics Engineer, we received a total of 173 applications but only 10 were selected for an intro call. Some of the key reasons why previous candidates didn’t make it past the application screening stage include:</p>
<ul>
<li>
<p>CV writing and content: it was very clear that many of the CVs we saw were very generic and AI generated. There is no issue with leveraging AI to help with CV writing, there was little indication of what real impact the candidates had in their previous experience. You might have heard of the “Achieved X, as measured by Y, by doing Z” formula (credit Laszlo Bock ~2014), this is a great way to give a clear picture of what you have actually worked on. Some link or quick description of the companies you’ve worked with is also a great help.</p>
</li>
<li>
<p>Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process.</p>
</li>
<li>
<p>Profile to role fit: there was misunderstanding about the type of experience we expect from an Analytics Engineer and we received many applications from candidates who had never been exposed to a product-led environment or had been exclusively focused on SQL/dbt work when we’re looking for both technical and stakeholders management and team collaboration experience. To be perfectly clear, this is NOT a Data Engineer role or a Data Analyst role! This is a heavily-driven dbt modelling role, experience in this area is critical. We’ve taken great care in writing this role description to reflect the reality of the job as best as possible, please ensure you read it carefully and highlight on your CV the experience relevant to what we are looking for.</p>
</li>
</ul>
<h3><strong>About your application</strong></h3>
<ul>
<li>
<p><strong>English first.</strong> Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us.</p>
</li>
<li>
<p><strong>A fair look for everyone.</strong> Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails.</p>
</li>
<li>
<p><strong>Diversity drives us.</strong> We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us.</p>
</li>
<li>
<p><strong>Interview at your best.</strong> We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you.</p>
</li>
<li>
<p><strong>Your data is safe.</strong> When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy <a href="https://www.pleo.io/en/legal" rel="nofollow ugc noopener" target="_blank"><u>here</u></a>.</p>
</li>
<li>
<p><strong>Applying for multiple roles?</strong> Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role.</p>
</li>
<li>
<p><strong>Reapplying.</strong> If you’re applying for the same role again, please wait six months from your last decision before hitting submit.</p>
</li>
</ul>

Analytics Engineer

<p><strong><em> We’re on a mission to make money work for everyone.</em></strong></p>
<p>We’re waving goodbye to the complicated and confusing ways of traditional banking.</p>
<p>After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as <a href="https://monzo.com/current-account/personal" rel="nofollow ugc noopener" target="_blank">personal</a> and <a href="https://monzo.com/business-banking" rel="nofollow ugc noopener" target="_blank">business</a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account" rel="nofollow ugc noopener" target="_blank">joint accounts</a>, <a href="https://monzo.com/current-account/16-17" rel="nofollow ugc noopener" target="_blank">accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s" rel="nofollow ugc noopener" target="_blank">free kids account</a> and <a href="https://monzo.com/flex" rel="nofollow ugc noopener" target="_blank">credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings" rel="nofollow ugc noopener" target="_blank">save</a>, <a href="https://monzo.com/investments" rel="nofollow ugc noopener" target="_blank">invest </a>and <a href="https://monzo.com/pensions" rel="nofollow ugc noopener" target="_blank">combine their pensions</a> with us. </p>
<p>With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!</p>
<p>We’re not about selling products - we want to solve problems and change lives through <a href="https://jobicy.com/company/monzo" target="_blank" rel="noopener">Monzo</a> ❤️</p>
<hr>
<h3>London or UK remote |  £100,000 to £130,000 + Incentive Awards tied to your performance +<a href="https://monzo.com/careers/#benefits" rel="nofollow ugc noopener" target="_blank"> Benefits</a> |<a href="https://monzo.com/blog/technology" rel="nofollow ugc noopener" target="_blank"> Technology</a> -<a href="https://monzo.com/blog/data" rel="nofollow ugc noopener" target="_blank"> Data</a> </h3>
<p><strong>About us: </strong></p>
<p>We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.</p>
<p>We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.</p>
<p>We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.</p>
<p><strong>About our Financial Crime Data Team:</strong></p>
<p>As we continue to scale, we’re looking for a<strong> Data Science Manager</strong> to lead one of our key product areas for Financial Crime.</p>
<p>As a Data science manager, you’ll be working in an ever changing environment work in collaboration with Product, Risk and Engineering peers and champion the data strategy and lead a cross-functional team.</p>
<p>You’ll help us build and improve these for now and for our future roadmap. We’re looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers</p>
<p><strong>What you’ll be working on:</strong><strong><br></strong><strong><br></strong>You’ll work closely with the Product Managers, engineers, and Financial Crime control owners in an agile product environment. You’ll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in financial crime detection, prevention and mitigation, ensuring we stay ahead of emerging threats and regulatory requirements.</p>
<p>You’ll help your team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you’ll get to see the impact of all your work in the product changes we make.</p>
<p>We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses.</p>
<p><strong>Your day-to-day </strong></p>
<ul>
<li>Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo world class at detecting and fighting financial crime activity</li>
<li>Help hire, develop and retain talented Data people</li>
<li>Generate insights that can change the direction of our financial crime strategy</li>
<li>Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life</li>
<li>Liaise with risk, product and engineering managers to keep making sure we collect the right data to produce relevant business insights</li>
</ul>
<p><strong>You should apply if:</strong></p>
<ul>
<li>What we’re doing here at Monzo excites you!</li>
<li>You <strong>must</strong> have at least 4 years of experience as a Data Science Manager- at least 2 of them managing a data team larger than 4 people</li>
<li>You are a strong strategic data leader and love to drive decisions</li>
<li>Strong experience with working with executive or C-level peers, managing stakeholders across levels of seniorities and disciplines</li>
<li>You know what it takes to manage top tier Data talent</li>
<li>You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business</li>
<li>You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same</li>
<li>Experience in financial crime, fraud detection, or similar areas (Trust &amp; Safety, Integrity, Security) is a plus.</li>
</ul>
<p><strong>The Interview Process:</strong></p>
<p>Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!</p>
<ul>
<li>30 minute recruiter call </li>
<li>45 minute call with hiring manager </li>
<li>3 x 1-hour video calls with various team members</li>
</ul>
<p>Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com</p>
<p><strong>What’s in it for you:</strong></p>
<p>✈️ We can help you relocate to the UK </p>
<p>✅ We can sponsor visas</p>
<p>This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).</p>
<p>⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.</p>
<p>Learning budget of £1,000 a year for books, training courses and conferences</p>
<p><strong>➕And much more, see our full list of benefits<a href="https://monzo.com/careers/" rel="nofollow ugc noopener" target="_blank"> here</a></strong></p>

<p><strong>#LI-NB2 #LI-Remote</strong></p>
<hr>
<p><strong>Equal opportunities for everyone</strong></p>
<p>Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our <a href="https://monzo.com/blog/diversity-and-inclusion" rel="nofollow ugc noopener" target="_blank">blog</a>, 2026 <a href="https://monzo.com/blog/our-2026-diversity-and-inclusion-report" rel="nofollow ugc noopener" target="_blank">Diversity and Inclusion Report</a> and 2025 <a href="https://monzo.com/blog/gender-pay-gap-report-2025" rel="nofollow ugc noopener" target="_blank">Gender Pay Gap Report.</a></p>
<p>We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.</p>
<p>If you have a preferred name, please use it to apply. We don't need full or birth names at application stage </p>

Data Science Manager, Financial Crime

<h3>Company Description</h3>
<p><a href="https://jobicy.com/company/workleap" target="_blank" rel="noopener">Workleap</a> is a Montreal-based tech company, founded in 2006. We're builders at heart, we make simple products that actually matter to the people who use them. We have two product lines: <a href="https://workleap.com/" rel="nofollow ugc noopener" target="_blank">Workleap Agent</a>, our newest solution built to make every manager more effective, and <a href="https://sharegate.com/" rel="nofollow ugc noopener" target="_blank">ShareGate</a>, the world's leading solution for Microsoft 365 migration and governance. More than 15,000 companies worldwide trust us to do exactly that. We're intentional about who joins us. If you're the kind of person who gets excited by a hard problem and wants to help shape what comes next, there's a place for you here.</p>
<h3>Your role</h3>
<p>ShareGate is a close to $100M ARR business that grows through two very different engines: inbound and channel. We've just finished our CRM migration and locked down our revenue architecture, which means for the first time the data is clean enough to answer the question we've never been able to answer properly — what marketing actually drives revenue, and where the next dollar should go. This role exists to own that answer. You'll be the analytical counterpart to our marketing ops lead, working side by side with ShareGate's Director of Marketing to turn campaign and attribution data into decisions the marketing team and the exec team can act on.</p>
<p><strong>Your impact: </strong></p>
<ul>
<li>Own ShareGate's marketing attribution architecture across HubSpot and HockeyStack, and translate funnel data into exec-ready narratives, so attribution questions get one clear answer;</li>
<li>Drive marketing performance by diagnosing what's working and what isn't across inbound and channel, so budget shifts to the highest-return programs every quarter instead of every fiscal year;</li>
<li>Build the reporting and diagnostic layer for ShareGate marketing — campaign performance, funnel conversion, source quality — so the team plans against measured conversion rates, not assumptions;</li>
<li>Integrate AI into the analysis workflow — we run on Claude — to compress the time from question to answer from days to hours, and to make deep-dive analysis a weekly habit rather than a quarterly project.</li>
</ul>
<p><strong></strong></p>
<h3>Your team</h3>
<p>The next 6 to 12 months are a build. This role has never existed at Workleap, and you're inheriting a business that just finished cleaning its foundations: the CRM migration is done, the revenue architecture is set, and attribution visibility is still scattered across two systems. Your first mandate is to make that architecture coherent and legible — then use it to tell ShareGate's marketing team where to invest and where to pull back. </p>
<p>RevOps at Workleap is split into two halves. One is Systems &amp; Operations, which owns automation, CRM architecture and AI GTM tooling. The other — yours — is a group of GTM business partners embedded with the business units they serve, accountable for their stakeholder's performance: forecasting, funnel conversion, quota attainment, velocity. You'll report to the Director of RevOps and pair tightly with our Marketing Ops Manager, who owns the systems and campaign execution, while you own the data and its interpretation. </p>
<h3>What you'll bring</h3>
<ul>
<li>3+ years in marketing operations or marketing analytics at a B2B SaaS, software or fintech company;</li>
<li>Deep hands-on HubSpot expertise — non-negotiable. You've built, broken and rebuilt campaign, lifecycle and reporting logic inside it;</li>
<li>A real command of attribution models — first touch, last touch, multi-touch — and the judgment to know which one answers which question;</li>
<li>Fluency with the mechanics underneath: UTM governance, lead routing and round robins, lifecycle stages, source and channel taxonomy;</li>
<li>An analyst's instinct: you chase the "why" behind a number before anyone asks you to;</li>
<li>The ability to take a messy dataset and turn it into a two-slide answer a CRO can act on;</li>
<li>Deliberate daily use of AI to accelerate your own analysis — not just to draft copy;</li>
<li>Bonus: experience with HockeyStack or a comparable attribution platform.</li>
</ul>
<p>Most of this sounds like you? Apply.</p>
<h3>What the job comes with</h3>
<ul>
<li>Base salary: $100k to $130k / OTE: $110k–$140k. <em>This range reflects our Canada-wide compensation scale. Final offers may be adjusted based on the candidate's region to align with local market conditions.</em></li>
<li>LTIP program, share in Workleap's long-term growth;</li>
<li>RRSP + Family health insurance + telemedicine + annual wellness budget;</li>
<li>Flexible vacation policy;</li>
<li>Remote work, with access to our Montreal office;</li>
<li>In-person gathering twice a year;</li>
<li>Claude access, for everyone.</li>
</ul>
<p>Note: The internal title for this role is Revenue Operations Business Partner.</p>
<h3><strong>What drives us</strong></h3>
<p>At Workleap, we build software that sits at the center of how people experience work, every day, at every level.</p>
<p>We move fast. Priorities shift, decisions get made with the information we have, and we iterate. If you thrive on intensity and ambiguity doesn't slow you down, you'll feel right at home.<br>We're builders. We do what it takes to move forward. AI is part of our toolkit. We use it to go faster and decide smarter, not to replace judgment.</p>
<p>If you want real impact and a place where your decisions matter, this is it.</p>
<h3><strong>How we hire </strong></h3>
<p>Transparency is how we hire — for you as much as for us.</p>
<p>Here's how it works: a first call with a recruiter, then a virtual interview with the hiring manager. You'll then complete a take-home case study, followed by a meet with future colleagues to discuss it together. Depending on the role, the process may vary slightly — your recruiter will walk you through it on your first call.</p>
<p>We use AI to support certain steps of the process, but every hiring decision remains human.</p>
<p>We can't wait to meet you.</p>
<p>By applying, you confirm that you have read and agree to our <a href="https://workleap.com/trust-center/privacy" rel="nofollow ugc noopener" target="_blank">privacy policy</a>.</p>
<p>#LI-Remote</p>

Marketing Analyst, Attribution - ShareGate

<div class="content-intro">
<p><strong>At <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions.</strong></p>
<p>Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, clients gain access to a platform designed for flexibility, scalability, and seamless integration.</p>
<p>Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape.</p>
<p>Whether scaling your PSP, enhancing your EMI services, or diving into open banking, <strong><a href="https://himalayas.app/companies/whitetech">WhiteTech</a> is your partner for innovation and growth.</strong></p>
<p><em>We are a remote-first technology company and welcome applications from candidates across Europe, including the EEA, the UK, Switzerland, and other non-EEA European countries such as Ukraine, Moldova, Georgia, Armenia, Montenegro, Turkey, and the Western Balkans. We also consider applicants from different locations who can work within Central European Time (CET).</em></p>
</div><h3><strong>Your role and impact:</strong></h3><p>As a Business Analyst at <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, you will contribute to conducting detailed business analysis, understanding market dynamics, and enhancing our product offerings. By working closely with internal teams and external partners, you will ensure our products not only meet but exceed the evolving needs of our customers. We are looking for someone who is detail-oriented, proactive and innovative, able to learn and adapt quickly.</p><h3><strong>Your key responsibilities:</strong></h3><ul>
<li>Conducting comprehensive business analysis for diverse fintech projects and initiatives.</li>
<li>Analyzing industry trends, market conditions, and competitor strategies for benchmarking purposes.</li>
<li>Collecting and prioritizing the product requirements from stakeholders and the focus groups.</li>
<li>Developing detailed use cases, user stories, and documentation to outline product features and functionalities.</li>
<li>Identifying and addressing gaps in current products and processes.</li>
<li>Working with third-party developers to integrate API and SDK products.</li>
<li>Providing technical support to internal sales, operations units, and partner engineering teams.</li>
<li>Participating in troubleshooting, testing, launching, and monitoring post-integration of solutions.</li>
<li>Creating technical documentation, integration manuals, guidelines, user manuals, and training materials for clients.</li>
<li>Managing internal knowledge transfer and conducting product demonstrations to stakeholders.</li>
</ul><h3><strong>Requirements &amp; Skills:</strong></h3><ul>
<li>Bachelor’s Degree in Computer Science, Information Technology, Business Administration, Finance, or a related field.</li>
<li>At least 3 years experience as a Business Analyst or Product Manager.</li>
<li>Familiarity with both B2B and B2C environments.</li>
<li>Knowledge of business analysis requirements, project management principles, practices, techniques, and tools.</li>
<li>Understanding of basic usability principles and UI/UX design (Figma).</li>
<li>Experience with SQL and basic knowledge of HTML, CSS, JavaScript.</li>
<li>Strong proficiency in Jira, Confluence, Miro, UML, and Google tools (Docs, Sheets, etc.).</li>
<li>Experience in creating mockups and sketches for user interfaces.</li>
<li>Excellent communication skills, capable of engaging effectively with both technical and non-technical stakeholders.</li>
<li>Understanding of Agile methodologies.</li>
<li>Strong analytical, and problem-solving skills.</li>
<li>At least an Upper-intermediate level of English.</li>
</ul><h3>Our recruitment process typically follows these stages:</h3><ol>
<li>Application screening</li>
<li>Interview Stages (2-3 weeks):<ul>
<li>Prescreening call (40 min)</li>
<li>Technical Interview with PM (60 min)</li>
<li>Final Interview with Head of PMO (60 min)</li>
</ul>
</li>
<li>Job Offer</li>
<li>Referrals: Employment and Background Check</li>
</ol><div class="content-conclusion">
<h3>We offer:</h3>
<ul>
<li>Competitive compensation package (commensurate with your experience)</li>
<li>19 business days of flexible Paid Time Off (PTO)</li>
<li>Fully remote work with flexible hours (within the CET time zone) from any location of your choice</li>
<li>Values-driven culture with a friendly and supportive work environment</li>
<li>Opportunity to regularly participate in conferences and community events as both a participant and contributor</li>
<li>Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency</li>
</ul>
<p>Embrace the opportunity to develop your skills in a cutting-edge fintech environment.</p>
<p>Please apply now to be part of our dynamic team and make a tangible impact on the future of payments!</p>
<p><strong>Let’s build </strong><strong>something</strong><strong> great together!</strong></p>
</div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Business Analyst

<div class="content-intro">
<h3>A career that’s the whole package!</h3>
<p>At <a href="https://himalayas.app/companies/conga">Conga</a>, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.</p>
<p><strong><a href="https://himalayas.app/companies/conga">Conga</a></strong> lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, <a href="https://himalayas.app/companies/conga">Conga</a> aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust <a href="https://himalayas.app/companies/conga">Conga</a> when commercial complexity is high and global impact is on the line.</p>
</div><h3>AI Data Scientist</h3><p><strong>Location</strong>: Houston - Hybrid, Canada - Remote</p><p><strong>Reports to:</strong> Senior Director, Science | Platform AI - R&amp;D</p><h3>A quick snapshot…</h3><p>As an AI Data Scientist at <a href="https://himalayas.app/companies/conga">Conga</a>, you will be a hands-on technical leader responsible for researching, building, evaluating, and deploying the natural language and machine learning capabilities that power our revenue lifecycle management solutions. You will work across traditional NLP, statistical machine learning, deep learning, and Generative AI to solve complex product and business problems, partnering closely with Engineering, Product, and Data Science teams to take solutions from first experiment to production at scale.</p><p>This role is ideal for a scientist who pairs deep research instincts with a builder's mindset. You understand both the theory and the practical tradeoffs behind NLP and ML, and you know how to choose the right approach based on data, performance, latency, cost, and business need.</p><h3>Why it's a big deal…</h3><p>At <a href="https://himalayas.app/companies/conga">Conga</a>, AI is central to how we help customers make sense of their most complex commercial documents and decisions. Contracts, quotes, and agreements are rich with unstructured language, and turning that language into trusted insight is one of the biggest opportunities in front of us.</p><p>As an AI Data Scientist, you will help shape how <a href="https://himalayas.app/companies/conga">Conga</a> applies NLP and Generative AI across our platform. Your work will directly influence product intelligence, model quality, and the experience thousands of customers rely on every day. You'll also help raise the technical bar across the team through mentorship, rigorous evaluation standards, and a steady stream of applied research.</p><p>You'll work alongside a highly talented team of scientists and engineers dedicated to solving hard problems while supporting products that help customers streamline and transform their revenue operations.</p><h3>What you'll lead…</h3><h3>Applied Research &amp; Innovation</h3><ul>
<li>Research and evaluate emerging NLP, machine learning, deep learning, and Generative AI techniques, translating the most promising advances into practical solutions.</li>
<li>Investigate ambiguous technical problems independently, form hypotheses, and run experiments that compare competing approaches.</li>
<li>Continuously evaluate new models, frameworks, and methodologies, adopting those with demonstrated potential to improve product capabilities and system performance.</li>
</ul><h3>NLP &amp; Machine Learning Development</h3><ul>
<li>Design and build traditional NLP, statistical ML, deep learning, and transformer-based solutions using the right algorithms, architectures, and representations for the problem.</li>
<li>Develop data pipelines, NLP preprocessing, feature representations, embeddings, and training datasets across structured and unstructured data.</li>
<li>Establish data-quality strategies that keep models reliable as data and use cases evolve.</li>
</ul><h3>Generative AI &amp; LLM Solutions</h3><ul>
<li>Develop and evaluate LLM and GenAI solutions using prompting, RAG, embeddings, vector search, fine-tuning, agents, and structured generation.</li>
<li>Select and optimize models based on accuracy, latency, cost, and business requirements.</li>
<li>Help define how <a href="https://himalayas.app/companies/conga">Conga</a> builds, grounds, and governs GenAI capabilities across the platform.</li>
</ul><h3>Evaluation &amp; Experimentation Excellence</h3><ul>
<li>Design rigorous experiments, benchmarks, evaluation datasets, and statistical methodologies to measure and improve NLP, ML, and GenAI systems.</li>
<li>Lead error analysis and performance measurement that turn results into clear next steps.</li>
<li>Set evaluation standards the broader team can adopt and build on.</li>
</ul><h3>Production &amp; Operational Excellence</h3><ul>
<li>Take NLP and AI solutions from research and prototype through production deployment, monitoring, and ongoing optimization.</li>
<li>Partner with engineering teams to operationalize models at scale with strong reliability and performance.</li>
<li>Proactively identify model drift, quality gaps, and optimization opportunities in live systems.</li>
</ul><h3>Cross-Functional Partnership &amp; Mentorship</h3><ul>
<li>Collaborate with engineering, product, and data science teams to solve complex problems and shape technical direction.</li>
<li>Provide technical guidance and mentorship in NLP, ML, experimentation, and GenAI.</li>
<li>Foster a culture of curiosity, scientific rigor, and continuous learning.</li>
</ul><h3>Are you the person we're looking for?</h3><ul>
<li>Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, or a related quantitative field. Ph.D. preferred but not required.</li>
<li>10+ years of professional experience in data science, machine learning, NLP, or AI, including significant hands-on experience building and deploying NLP and/or GenAI solutions.</li>
<li>Proven experience taking ML, NLP, or GenAI solutions from experimentation through production deployment and ongoing optimization.</li>
<li>Demonstrated ability to translate open-ended research into practical, measurable outcomes.</li>
<li>Excellent communication skills and a track record of working effectively as a senior individual contributor across technical teams.</li>
</ul><h3>Technical Expertise</h3><ul>
<li>Expert-level Python with extensive use of Hugging Face Transformers, spaCy, NLTK, Sentence Transformers, PyTorch, and TensorFlow.</li>
<li>Expert knowledge of traditional NLP, including tokenization, stemming, lemmatization, n-grams, TF-IDF, topic modeling, text classification, named entity recognition, information extraction, semantic similarity, and information retrieval.</li>
<li>Strong understanding of deep learning architectures, including CNNs, RNNs, LSTMs, GRUs, encoder-decoder models, attention mechanisms, and Transformers.</li>
<li>Strong understanding of Transformer-based language models, including embeddings, pretraining, fine-tuning, and inference.</li>
<li>Hands-on experience with LLMs and foundation models, including prompt engineering, RAG, vector search, reranking, fine-tuning, LoRA/QLoRA, structured generation, and LLM evaluation.</li>
<li>Strong grasp of experimental design, statistical testing, cross-validation, hyperparameter optimization, and error analysis.</li>
<li>Experience with NLP and GenAI evaluation metrics, including precision, recall, F1, ROC-AUC, MAP, MRR, NDCG, semantic similarity, groundedness, and relevance.</li>
<li>Strong SQL skills and experience with structured and unstructured data at scale.</li>
<li>Experience with distributed data processing platforms such as Spark, Databricks, or BigQuery.</li>
<li>Experience with cloud platforms such as Databricks, GCP, AWS, or Azure and modern ML infrastructure.</li>
<li>Experience with ML tooling such as MLflow, Kubeflow, Weights &amp; Biases, Docker, Kubernetes, or Ray.</li>
<li>Experience with vector databases and search technologies such as FAISS, Elasticsearch/OpenSearch, Pinecone, Weaviate, or Milvus.</li>
<li>Familiarity with LLM application frameworks such as LangChain, LlamaIndex, or DSPy.</li>
</ul><h3>Key Competencies</h3><h3>Research Depth</h3><p>You bring strong theoretical foundations and the curiosity to explore new techniques, while staying grounded in what will actually move the product forward.</p><h3>Builder's Mindset</h3><p>You enjoy getting hands-on, turning prototypes into production systems, and owning outcomes well past the first experiment.</p><h3>Scientific Rigor</h3><p>You hold yourself and your team to high standards for evaluation, measurement, and evidence-based decisions.</p><h3>Collaboration &amp; Communication</h3><p>You partner effectively across functions and explain complex technical concepts clearly to diverse audiences.</p><h3>Technical Leadership</h3><p>You elevate those around you through mentorship, thoughtful guidance, and sound technical judgment.</p><h3>Here's what will give you an edge…</h3><ul>
<li>Experience with NLP in the legal domain, such as NER, document classification, or semantic search over legal documents.</li>
<li>Experience with advanced information retrieval, semantic search, document intelligence, multimodal models, or knowledge graphs.</li>
<li>Experience with parameter-efficient fine-tuning, model quantization, distillation, inference optimization, synthetic data generation, and agentic architectures.</li>
<li>Advanced knowledge of cloud AI/ML platforms and distributed training and inference for large-scale LLM systems.</li>
<li>Contributions to the field through publications, patents, open-source projects, conference talks, or technical writing.</li>
<li>Experience working within Agile, cross-functional product development teams.</li>
</ul><h3>Travel</h3><p>Limited travel to other <a href="https://himalayas.app/companies/conga">Conga</a> offices upon request.</p><div class="content-conclusion">
<h3>Did we pique your interest? </h3>
<p>If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! </p>
<h3>Preferred Resume Format</h3>
<p>We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly. </p>
<p><strong>Don’t meet every requirement for the role?</strong><strong> </strong><strong> </strong></p>
<p>Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At <a href="https://himalayas.app/companies/conga">Conga</a> we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.  </p>
<div>
<div><h3>Additional Information</h3></div>
<div class="wysiwyg"><p><a href="https://himalayas.app/companies/conga">Conga</a> is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. <a href="https://himalayas.app/companies/conga">Conga</a> is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.</p></div>
</div>
<h3>
<a href="https://himalayas.app/companies/conga">Conga</a>'s Applicant Privacy Statement </h3>
<p>The information you provide during the application process will be used in accordance with <a href="https://himalayas.app/companies/conga">Conga</a>’s Applicant Privacy Statement (). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.</p>
</div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

AI Data Scientist

<h3>ABOUT THIS POSITION</h3><p><a href="https://himalayas.app/companies/aceable">Aceable</a> is looking for a <strong>Sr Analytics Engineer</strong> who likes solving holistic data problems. This is a hands-on role that sits on a small team at the intersection of Data Engineering and Business Intelligence. In this role, you’ll be empowered to solve high-visibility data architecture and pipeline problems from beginning to end. One week you might build a new data pipeline or troubleshoot why data isn't landing where it should. The next week, you could be designing a dbt model, creating a semantic view or AI agent in Snowflake, building a Power BI dashboard, or partnering with a stakeholder to turn a fuzzy business question into a data product people can actually trust and use.</p><p>We don't expect you to be an expert in every tool we use. We do expect meaningful technical depth in multiple areas, strong problem-solving instincts, experience and excitement around AI, and the curiosity to jump into unfamiliar territory when the problem calls for it.</p><p>If you like variety, autonomy, solving messy problems, and building things from source data all the way through to the person making the decision, you will love working with us.</p><h3>WHAT YOU’LL DO</h3><ul>
<li>Own data products end to end. Take a problem from source data all the way through to the dashboard, metric, or workflow someone actually makes a decision with. Design, build, test, deploy, and maintain the whole path rather than handing it off at each layer.</li>
<li>Turn fuzzy questions into things people trust. Work directly with partners in Marketing, Product, Finance, and Engineering to figure out what they're really asking, then build something reliable and maintainable enough that they stop asking you and just use it.</li>
<li>Own quality from source to screen. Build the testing, documentation, monitoring, and data quality controls that keep trust high, and when something breaks, chase it wherever it actually lives: pipeline, transformation, model, metric, or report.</li>
<li>Leave the platform better than you found it. Improve architecture, simplify workflows, and automate repetitive work, including using AI well to move faster on coding, investigation, testing, and documentation, while holding the line on accuracy and human review.</li>
</ul><h3>WHAT YOU’LL NEED</h3><ul>
<li>7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similarly technical data role</li>
<li>Advanced SQL and hands-on experience building production-scale transformations in a cloud data warehouse, ideally Snowflake, dbt, and GitHub or close equivalents</li>
<li>A strong understanding of dimensional modeling, data marts, data quality testing, documentation, version control, code review, and software development lifecycle practices</li>
<li>Experience with at least one data integration, ETL/ELT, orchestration, or event-data platform, plus a solid understanding of how data moves from source systems through transformation and into downstream reporting</li>
<li>Experience building semantic models, DAX measurements, dashboards, and self-service data products using Power BI or an equivalent modern BI platform</li>
<li>The ability and judgment to take a highly ambiguous business problem, ask the right questions, and turn it into something reliable and maintainable, plus the communication skills to do that with deeply technical partners and stakeholders who just need the data to make sense</li>
<li>Experience building semantic layers, AI agents, or automated workflows that support generative AI and natural-language analytics and a willingness to use AI responsibly to accelerate technical work, automate repeatable processes, and continuously expand your capabilities</li>
</ul><h3> BONUS POINTS</h3><ul>
<li>Hands-on experience with Matillion or Segment</li>
<li>Experience supporting digital event instrumentation and transforming customer journey, product usage, and marketing data into trusted, analytics-ready datasets, especially in support of Marketing, Product, Finance, or executive decision-making </li>
<li>Familiarity with APIs, JSON, Python, Git, CI/CD, and automated deployment workflows</li>
<li>Experience with data observability, lineage, governance, privacy, role-based access, and warehouse cost optimization</li>
</ul><h3>ABOUT ACEABLE</h3><p><a href="https://himalayas.app/companies/aceable">Aceable</a> has helped 20 million people get licensed in driver's ed, real estate, insurance, and mortgage. Behind every license is a first car, a new career, a fresh start. Making those moments possible is why we built <a href="https://himalayas.app/companies/aceable">Aceable</a>. </p><p>We're profitable, growing, and investing heavily in AI to make licensing education better. Our courses are mobile-first, fully accredited, and built around one obsessive question: what's the most effective and engaging way to get someone to actually learn this? We’re proud that our students consistently outperform competitors on pass rates. </p><p>We move fast, ship to real students in weeks, and give our people genuine end-to-end ownership. If you want to build something that directly helps people start new careers (and have fun doing it) you're going to fit right in.</p><p><strong>ABOUT THE BUSINESS INTELLIGENCE &amp; DATA ENGINEERING</strong><strong> TEAM</strong></p><p>The Business Intelligence &amp; Data Engineering team builds and supports the data products that help <a href="https://himalayas.app/companies/aceable">Aceable</a> understand performance, make informed decisions, and operate more effectively. Our work spans data ingestion and event instrumentation, cloud data infrastructure, transformation and modeling, business intelligence, self-service analytics, and AI-enabled data experiences.</p><p>We are a small, highly collaborative team that values end-to-end ownership over rigid functional handoffs. Team members bring different areas of technical depth, but work together across the data lifecycle to deliver trusted, scalable solutions. We partner closely with teams throughout <a href="https://himalayas.app/companies/aceable">Aceable</a>, including Marketing, Product, Finance, Operations, and Engineering, and are continually looking for ways to use AI and automation to increase our impact.</p><h3>ACEABLE PERKS</h3><ul>
<li>Join one of Austin's Best Places to Work in 2024 &amp; 2025</li>
<li>Competitive total rewards (base salary + bonus/stock options, if applicable)</li>
<li>401k match</li>
<li>Robust medical, dental, and vision benefits </li>
<li>Generous paid time off programs + 19 paid holidays per year</li>
<li>Flexible work schedule</li>
<li>Wellness programs</li>
<li>Our own space on the top floor of a downtown Austin building with free parking</li>
<li>Weekly lunch, a fully stocked fridge, and plentiful snacks</li>
<li>Company events and activities (holiday events, happy hours, volunteering)</li>
<li>#PursueGrowth Reimbursement ($600 per year for full-time employees)</li>
<li>Free Roadside Assistance subscription</li>
<li>Passionate teammates excited to help you succeed and learn</li>
<li>NOTE: Our team is currently working in a hybrid work environment with flexibility to work in office or remote based on role/department and location*</li>
</ul><p>At <a href="https://himalayas.app/companies/aceable">Aceable</a> we celebrate and support all differences. <a href="https://himalayas.app/companies/aceable">Aceable</a> is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital, disability, and veteran status. Even if you don't think you meet every qualification listed, we'd love to review your application!</p><p><strong>*Remote Hires</strong> I <a href="https://himalayas.app/companies/aceable">Aceable</a> is only able to hire employees in the following locations: California, Colorado, Illinois, Massachusetts, Mississippi, Nebraska, New Jersey, New York (excluding Boroughs), North Carolina, Pennsylvania, Texas, Utah, and Washington.</p><h3>Compensation: $140,000 - $154,000</h3><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Sr Analytics Engineer

<div class="content-intro"><p>Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</p></div><p class="mb-2 whitespace-pre-wrap">As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively.</p>
<p class="mb-2 whitespace-pre-wrap"><strong>What you'll do:</strong></p>
<ul>
<li>Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions.</li>
<li>Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery.</li>
<li>Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time.</li>
<li>Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and safety at scale.</li>
<li>Establish best practices for system design, coding standards, and evaluation frameworks for ML/AI systems, mentoring team members on architectural decisions and modern ML development workflows.</li>
</ul>
<p class="mb-2 whitespace-pre-wrap"><strong>Required Skills and Experience:</strong></p>
<ul>
<li>5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale.</li>
<li>Hands-on expertise with large language models, deep learning architectures, and the generative AI ecosystem (LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock), with demonstrated ability to build multi-agent or LLM orchestration systems.</li>
<li>Proficiency in Python with the ability to write clean, maintainable, and highly tested production code for ML applications.</li>
<li>Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling, with the ability to ramp quickly on adjacent areas.</li>
<li>Proven ability to write technical design documents and communicate complex ML concepts clearly to non-technical stakeholders across product, design, and CX teams.</li>
<li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul>
<p>#P78698</p>
<div id="fortidlp-input-element-parent"></div><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Pay Transparency Notice:</strong><strong><em> </em></strong>Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).&nbsp;</p>
<p>&nbsp;</p></div><div class="title">Annual base salary range (excluding equity and bonus):</div><div class="pay-range"><span>$191,250</span><span class="divider">&mdash;</span><span>$225,000 USD</span></div></div></div><div class="content-conclusion"><ul>
<li style="font-style: italic; font-size: 8pt;"><strong><em>Application Limit: </em></strong>Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Equal Opportunity Employer: </strong>Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>US Applicants: </strong>View<a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf"> Employee Rights</a>,<a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf"> Know Your Rights</a>, and<a href="https://static-assets.coinbase.com/e-verify.pdf"> E-Verify</a> Notice of Participation.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Accommodations: </strong>If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.&nbsp;Need screen reading technology?<a href="https://chromewebstore.google.com/detail/screen-reader/kgejglhpjiefppelpmljglcjbhoiplfn"> Click here</a> to download a free compatible screen reader and view the<a href="http://www.chromevox.com/tutorial/"><strong> </strong>tutorial</a>.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Data Privacy &amp; Arbitration: </strong>By submitting your application, you agree to our<a href="https://www.coinbase.com/legal/applicant_privacy_notice"> Candidate Privacy Notice</a>. US applicants: By submitting your application, you agree to<a href="https://www.coinbase.com/legal/application-arbitration-agreement"> Arbitration of Disputes</a>.<br></em></span></li>
</ul>
<div id="fortidlp-input-element-parent"></div></div>

Senior Machine Learning Engineer, CX


          <strong>Who We Are<br><br></strong>We&#x2019;re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world&#x2019;s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence.<br><br>We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs &#x2013; in the best possible way.<br><br>Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit.<br><br><strong>Why Worldwide<br><br></strong>We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day. Join us!<br><br>Make an Impact as a Feasibility Specialist at Worldwide<br><br>Play a key role in advancing clinical research by helping identify and engage the right investigative sites for studies around the world. As a Feasibility Specialist, you&apos;ll support end-to-end feasibility activities, transforming complex data into meaningful insights that help study teams make informed decisions and move projects forward efficiently.<br><br>In this role, you&apos;ll collaborate with cross-functional teams while serving as a subject matter expert across key feasibility technologies, including investigator survey, scoring, intelligence, and scenario modelling tools. Your work will directly contribute to high-quality site identification strategies, effective feasibility outreach, and reliable study planning.<br><br>You&apos;ll have the opportunity to influence continuous improvement initiatives, enhance feasibility processes, and help drive innovation through data-driven decision-making and operational excellence.<br><br>Where You&apos;ll Work<br><br>This is a remote role open to candidates based in UK, Europe and US. You will collaborate with global teams across multiple time zones.<br><br>What You&apos;ll Do<br><br><ul><li>Analyse internal and external data sources to develop, assess, and refine investigator and site identification strategies.</li><li>Integrate, reconcile, interpret, and quality-check complex investigator and site datasets to deliver reliable, decision-ready insights.</li><li>Create and maintain site-facing feasibility materials that align with protocol requirements and study objectives.</li><li>Design and optimise feasibility questionnaires that generate actionable site intelligence and support informed study planning.</li><li>Configure and manage feasibility surveys within designated technology platforms.</li><li>Coordinate feasibility outreach activities, driving site engagement and ensuring high-quality, timely responses.</li><li>Facilitate the preparation, tracking, and execution of Confidentiality Agreements (CDAs) when required.</li><li>Monitor project deliverables and timelines, proactively identifying risks and escalating issues when appropriate.</li><li>Contribute to cross-functional initiatives that improve feasibility capabilities, quality, efficiency, and innovation.<br><br></li></ul>What You&apos;ll Bring<br><br><ul><li>Bachelor&apos;s degree in life sciences, healthcare, business, data analytics, or a related field, or an equivalent combination of education and relevant professional experience.</li><li>1&#x2013;2+ years of experience in clinical research, feasibility, site identification, clinical operations, data analytics, pharmaceutical, biotechnology, or a related field.</li><li>Proficiency in English.</li><li>Strong data analysis, data review, reconciliation, and quality-control skills.</li><li>Ability to interpret complex information, identify discrepancies, assess risks, and communicate findings effectively.</li><li>Excellent written and verbal communication skills with strong attention to detail and organisational abilities.</li><li>Experience working independently, managing competing priorities, and delivering high-quality work within critical timelines.</li><li>Proficiency with Microsoft Office applications, including Word, Excel, PowerPoint, and Outlook; experience with clinical feasibility systems, survey platforms, and investigator intelligence tools is preferred.<br><br></li></ul>We love knowing that someone is going to have a better life because of the work we do.<br><br>To view our other roles, check out our careers page at Discover a world of difference at Worldwide! For more information on Worldwide, visit www.Worldwide.com or connect with us on LinkedIn.<br><br>Worldwide is an equal opportunity employer that is committed to enabling professionals from all backgrounds and experiences to succeed and, to that end, we prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and creativity. We know that when our employees feel appreciated and included, they can be more creative, innovative, and successful. We&#x2019;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We provide equal employment opportunities to all employees and applicants regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, military status, or other class protected by applicable law<strong>.</strong>
        

Feasibility Specialist (UK, Bulgaria, US)

<p><strong>What do we do?</strong></p>
<p><a href="https://jobicy.com/company/paddle" target="_blank" rel="noopener">Paddle</a> offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. </p>
<p>We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. </p>

<p><strong>The Role: </strong></p>
<p>We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities.</p>

<p><strong>What you'll do: </strong></p>
<ul>
<li>
<p>Create and maintain complex, scalable data models in Snowflake using dbt.</p>
</li>
<li>
<p>Expose datasets effectively in BI tooling to enable robust self-service analytics.</p>
</li>
<li>
<p>Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows.</p>
</li>
<li>
<p>Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking.</p>
</li>
<li>
<p>Activate data by pushing it from Snowflake into other operational tools.</p>
</li>
<li>
<p>Proactively identify and raise data quality issues to the respective process owners for resolution.</p>
</li>
<li>
<p>Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization.</p>
</li>
<li>
<p>Mentor junior analytics engineers, fostering knowledge-sharing and professional growth.</p>
</li>
</ul>
<p><strong>We'd love to hear from you if you:</strong></p>
<ul>
<li>
<p>Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake.</p>
</li>
<li>
<p>Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders.</p>
</li>
<li>
<p>Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems.</p>
</li>
<li>
<p>Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively.</p>
</li>
<li>
<p>Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions.</p>
</li>
<li>
<p>Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment.</p>
</li>
</ul>
<p><strong>Everyone is welcome at Paddle</strong></p>
<p>At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group.</p>
<p><strong>Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed.</strong> We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together.</p>
<p><strong>Why you’ll love working at Paddle</strong></p>
<p>We’re a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture.</p>
<p>We live and breathe our values, which are:</p>
<ul>
<li>
<p><strong>Paddle Together</strong> - <em>“None of us, is as smart as all of us”</em></p>
</li>
<li>
<p><strong>Paddle Simply</strong> - <em>“Simple can be harder than complex: you have to get your thinking clean to make it simple”</em></p>
</li>
<li>
<p><strong>Paddle for others</strong> - <em>“We can realise our wildest dreams, so long as we help enough other people to realise theirs”</em></p>
</li>
</ul>
<p>We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives.</p>
<p>We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.</p>
<p><strong>Connecting at Paddle</strong></p>
<p>We’re a<strong> ‘digital-first’ company</strong>, which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations.</p>
<p>We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration.</p>
<p>Our Paddle hubs:</p>
<ul>
<li>
<p><strong>In Europe:</strong> UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub)</p>
</li>
<li>
<p><strong>In North America: </strong>Austin, TX (USA) and Toronto (Canada)</p>
</li>
</ul>
<p>Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work.</p>
<p>To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.</p>

Senior Analytics Engineer

<p><strong>What do we do?</strong></p>
<p><a href="https://jobicy.com/company/paddle" target="_blank" rel="noopener">Paddle</a> offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. </p>
<p>We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. </p>

<p><strong>The role: </strong></p>
<p>We are looking for a Head of Data Science to build Paddle's data science capability from the ground up. Our Merchant of Record model gives us a data position no PSP or billing provider has: subscription and pricing context alongside granular payment-outcome data, across thousands of software businesses. This role exists to turn that into economic value by putting machine learning and agentic systems into production.</p>

<p>The mandate is deliberately narrow and deliberately ambitious: data science at Paddle owns <strong>automated decisioning inside the product</strong> — traditional machine learning and agentic systems alike — not decision-support analytics.</p>
<p>We have a long list of candidate opportunities than we can fund, spanning payment performance and revenue recovery, sales and marketing operations, growth and monetisation intelligence, and risk, trust and compliance. We have a working hypothesis about which of these pays back first, and we'll share it — but part of the job in your first quarter is to pressure-test it, size the alternatives yourself, and tell us where to start.</p>
<p>This is a founding role, and for the first few quarters it is a building role more than a managing one. You'll be the only person in the function: doing the analysis, engineering the features, training and evaluating the models or agents, taking the first system live with our engineering teams — and then operating it, answerable for its uptime, its drift and its numbers. Once the first use cases are proving out, you'll hire and lead a hub-and-spoke team of data scientists and machine learning engineers embedded across our highest-value business areas. You'll report into the VP of Data and work in close partnership with Product, Payments, Engineering, Risk and Finance.</p>

<p><strong>What you'll do: </strong></p>
<ul>
<li>
<p>Prioritise which opportunities have the biggest impact.. Build a value-based use-case backlog across payment performance and revenue recovery, sales and marketing operations, growth and monetisation intelligence, and risk, trust and compliance; size the leading candidates properly; and make the call on sequencing with the relevant Product, Risk, RevOps and Finance stakeholders. This gets refreshed quarterly.</p>
</li>
<li>
<p>Personally deliver the first system end to end: the analysis and back-test, the features, the model, policy or agent, the deployment, and the shadow and A/B tests that prove it works. Not a spec handed to someone else to build.</p>
</li>
<li>
<p>Operate what you deploy. Own monitoring, retraining, drift response, incident handling and rollback for live decisioning, alongside the engineering teams whose services call it — and set the expectation that the function runs its systems rather than shipping them.</p>
</li>
<li>
<p>Work across both traditional ML and agentic systems, and be honest about which a problem actually needs: a propensity or uplift model, a policy of rules, or an agent with tools, evals against golden answer sets and trace-level observability. Several of our strongest candidate use cases point each way.</p>
</li>
<li>
<p>Build and lead the team — hire senior data scientists embedded in value areas and machine learning engineers in the hub, and set the professional standards, shared methods and reusable components the function runs on.</p>
</li>
<li>
<p>Establish the production stack alongside Data Platform and Engineering: reproducible training data, code and artefacts; a model registry; inference services with real latency, availability and rollback requirements; historically accurate features where decisions need backdated reconstruction; eval harnesses and trace observability for agentic workflows; and monitoring for data quality, drift, model performance and economic outcomes. Start ad hoc where that's sufficient and platformise once the first use cases have shown what's actually needed.</p>
</li>
<li>
<p>Own value capture end to end. Shadow-test and A/B test every deployment against the incumbent strategy, translate metric movement into a financial number on a methodology co-signed by Finance, and publish a quarterly report on realised value.</p>
</li>
<li>
<p>Set the governance model for automated decisioning — proportionate risk assessment, clear ownership, latency and availability requirements, human escalation and rollback — working with Legal, Privacy, Compliance and Risk on GDPR, EU AI Act and payments obligations, and producing the evidence early enough to shape the design.</p>
</li>
<li>
<p>Define the boundaries and the working relationship with Product Science, Analytics Engineering, Data Platform and AI Enablement, so accountability for decision support versus automated decisioning stays unambiguous.</p>
</li>
<li>
<p>Deliver cross-functionally: embed in delivery groups with product owners, domain experts and platform engineers rather than handing models over the wall.</p>
</li>
</ul>
<p><strong>We'd love to hear from you if you:</strong></p>
<ul>
<li>
<p>Experienced leading data science or ML teams that own systems in production, with deployments that moved a commercial metric and kept running afterwards. Proofs of concept and dashboards are not what we're hiring for.</p>
</li>
<li>
<p>Hands-on now, not formerly. Your first quarters are spent writing SQL and Python, engineering features, evaluating models and agents, and doing the work that gets a system live — not reviewing someone else's.</p>
</li>
<li>
<p>Experienced across both traditional ML and agentic systems, and clear about how they differ in practice: propensity and uplift models, feature pipelines and drift on one side; tool and context design, prompt and retrieval iteration, evals against golden answer sets and trace observability on the other.</p>
</li>
<li>
<p>Practised at running live systems rather than just launching them — monitoring, retraining, incident response, rollback, and the on-call reality of a decision the business depends on.</p>
</li>
<li>
<p>Pragmatic about method: happy to argue for rules or heuristics where they capture most of the value, and to reserve models and agents for where they genuinely earn their keep.</p>
</li>
<li>
<p>Comfortable with an undefined starting point. There's a long list of candidate use cases and a strong internal hypothesis, but no fixed roadmap — you'll be expected to form your own view, back it with numbers, and defend it to an executive audience.</p>
</li>
<li>
<p>Strong on measurement — experimentation, uplift modelling, back-testing — and willing to hold your own work to a financial number that Finance will scrutinise.</p>
</li>
<li>
<p>Fluent in the engineering side of production ML and agents (training pipelines, model registries, inference services, feature stores, drift detection, trace observability) and able to hold your own with senior engineers on latency, availability, observability and rollback.</p>
</li>
<li>
<p>Able to hire, level and develop senior data scientists and ML engineers, and to set standards for a function that doesn't exist yet.</p>
</li>
<li>
<p>Credible with executives and commercial stakeholders: you can take a use case from business problem to value estimate to prioritisation decision, and say no to low-value work.</p>
</li>
<li>
<p>Experienced in payments, fintech, subscriptions, high-volume commercial operations or another regulated transactional domain — enough to get to a credible value estimate in a new area quickly.</p>
</li>
<li>
<p>Comfortable treating regulated ML as a design constraint rather than paperwork — model risk assessment, DPIAs, auditability, traceability of model and policy versions to production decision logic.</p>

</li>
</ul>
<p><strong>Everyone is welcome at Paddle</strong></p>
<p>At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group.</p>
<p><strong>Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed.</strong> We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together.</p>
<p><strong>Why you’ll love working at Paddle</strong></p>
<p>We’re a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture.</p>
<p>We live and breathe our values, which are:</p>
<ul>
<li>
<p><strong>Paddle Together</strong> - <em>“None of us, is as smart as all of us”</em></p>
</li>
<li>
<p><strong>Paddle Simply</strong> - <em>“Simple can be harder than complex: you have to get your thinking clean to make it simple”</em></p>
</li>
<li>
<p><strong>Paddle for others</strong> - <em>“We can realise our wildest dreams, so long as we help enough other people to realise theirs”</em></p>
</li>
</ul>
<p>We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives.</p>
<p>We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.</p>
<p><strong>Connecting at Paddle</strong></p>
<p>We’re a<strong> ‘digital-first’ company</strong>, which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations.</p>
<p>We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration.</p>
<p>Our Paddle hubs:</p>
<ul>
<li>
<p><strong>In Europe:</strong> UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub)</p>
</li>
<li>
<p><strong>In North America: </strong>Austin, TX (USA) and Toronto (Canada)</p>
</li>
</ul>
<p>Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work.</p>
<p>To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.</p>

Head of Data Science

<div>
<p>Are you passionate about data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at <a href="https://himalayas.app/companies/gopuff">Gopuff</a>? Come join the <a href="https://himalayas.app/companies/gopuff">Gopuff</a> Data Science team and #ChangeTheGame. <a href="https://himalayas.app/companies/gopuff">Gopuff</a> is a high-growth startup that is revolutionizing hyper-local instant e-commerce. We warehouse and deliver tens of thousands of products to your door super fast.</p>
<p>As a Senior Data Scientist at <a href="https://himalayas.app/companies/gopuff">Gopuff</a> working on the Delivery Technology Team, you will lead the vision and delivery of data driven models to optimize the delivery experience for consumers and delivery partners on our platform across dispatch optimization, delivery routing/ETAs, driver pricing/incentives, as well as the delivery partner experience. All of that, with a direct impact on the delivery experience that is so core to serving our customers’ immediate needs, means you’ll have the opportunity to make a huge impact on the future success of <a href="https://himalayas.app/companies/gopuff">Gopuff</a>.</p>
<p>We’re looking for a doer, problem solver, and thought-leader.</p>
</div><h3>What We Offer</h3><ul>
<li>Medical/Dental/Vision Insurance </li>
<li>401(k) Retirement Savings Plan</li>
<li>HSA or FSA eligibility</li>
<li>Long and Short-Term Disability Insurance</li>
<li>Fitness Reimbursement Program</li>
<li>25% employee discount &amp; FAM Membership</li>
<li>Flexible PTO</li>
<li>Group Life Insurance</li>
<li>EAP through AllOne Health (formerly Carebridge)</li>
</ul><h3>You Will</h3><ul><div>
<li><p><strong>Optimize delivery fees:</strong> Design, build and iterate on algorithmic delivery fee strategies (e.g., dynamic or contextual pricing by location, time, basket and capacity) that balance conversion, customer experience and profitability.</p></li>
<li><p><strong>Solve the driver dispatch problem:</strong> Develop optimization and ML approaches to order batching, assignment and routing that lower overall delivery cost while keeping speed and reliability high.</p></li>
<li><p><strong>Forecast demand:</strong> Build accurate, well-calibrated demand forecasts at the right granularity (location × time) to inform driver supply planning, scheduling, incentives and pricing decisions.</p></li>
<li><p><strong>Run rigorous experiments:</strong> Design and analyze high-quality tests, including A/B, switchback and geo/market-level designs, that account for marketplace interference, and use causal inference to measure true impact on customer and business metrics.</p></li>
<li><p>Own solutions end to end: frame the problem, build features and models, deploy with engineering partners, then monitor, explain and improve performance in production.</p></li>
<li><p>Partner with product, engineering, operations and finance to turn ambiguous business questions into well-defined technical objectives and shipped solutions.</p></li>
<li><p>Deeply understand our customers, delivery partners and data to find new opportunities for ML, optimization and causal inference.</p></li>
</div></ul><h3>You Have</h3><ul><div>
<li><p>MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field, with 2+ years of experience in delivery, logistics, marketplace or pricing problems (or 8+ years of industry experience in data science).</p></li>
<li><p>Strong background in at least two of the following: pricing/revenue optimization, mathematical optimization (e.g., MIP, assignment and routing problems, heuristics), time-series and demand forecasting, experimentation and causal inference.</p></li>
<li><p>Hands-on experience designing experiments in two-sided or operational marketplaces where standard A/B tests break down (e.g., switchback or cluster-randomized designs, variance reduction).</p></li>
<li><p>A proven ability to translate ambiguous business problems into clear technical objectives and deliver concrete, measurable results.</p></li>
<li><p>Expertise in machine learning and statistics.</p></li>
<li><p>Proficiency in Python, SQL and source control; experience shipping models to production with engineering teams.</p></li>
</div></ul><h3>Nice to Have</h3><ul><div>
<li><p>Experience in on-demand delivery, ride-hailing or gig-economy marketplaces.</p></li>
<li><p>Familiarity with optimization solvers (e.g., OR-Tools, Gurobi) and forecasting libraries.</p></li>
<li><p>Experience with ETA prediction or driver incentive and pay design.</p></li>
</div></ul><h3>Compensation</h3><ul><div><ul>
<li>
<a href="https://himalayas.app/companies/gopuff">Gopuff</a> pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.</li>
<li>This role is eligible for a discretionary annual cash bonus and participation in <a href="https://himalayas.app/companies/gopuff">Gopuff</a>’s equity incentive plan.</li>
<li>
<strong>Remote Base Salary Range</strong>: $160,000 - $200,000</li>
</ul></div></ul><div>
<strong>At <a href="https://himalayas.app/companies/gopuff">Gopuff</a>, we know that life can be unpredictable.</strong> Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.</div><div>And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.</div><div>Like what you’re hearing? Then join us on Team Blue.</div><div><em><a href="https://himalayas.app/companies/gopuff">Gopuff</a> is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. </em></div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

Senior Data Scientist - Delivery Tech

<div class="content-intro"><p>Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</p></div><p>Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.</p>
<p><strong><em>What you'll be doing:</em></strong></p>
<ul>
<li>Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.</li>
<li>Build, tune, or measure the performance of online and offline ML models and AI systems used across Coinbase.</li>
<li>Act as owner for a broad scope of data and metrics, from definitions and core logging to presentation of data visualizations.&nbsp;</li>
<li>Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.&nbsp;</li>
<li>Maintain a high bar for statistical rigor on your team. Design, execute, and uplevel&nbsp; experimentation and causal analyses that build confidence with your stakeholders.</li>
</ul>
<p><strong><em>What we look for in you:</em></strong></p>
<ul>
<li>A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience</li>
<li>Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.&nbsp;</li>
<li>Ability to influence external stakeholders by synthesizing data learnings into compelling stories.</li>
<li>Practical expertise in applying complex modeling frameworks to practical business problems.&nbsp;</li>
<li>Professional experience using SQL and Python.</li>
<li>Experience working with digital products in an iterative development cycle.</li>
<li>Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.</li>
<li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready analytical outputs and models.</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Pay Transparency Notice:</strong><strong><em> </em></strong>Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).&nbsp;</p>
<p>&nbsp;</p></div><div class="title">Annual base salary range (excluding equity and bonus):</div><div class="pay-range"><span>$180,370</span><span class="divider">&mdash;</span><span>$212,200 USD</span></div></div></div><div class="content-conclusion"><ul>
<li style="font-style: italic; font-size: 8pt;"><strong><em>Application Limit: </em></strong>Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Equal Opportunity Employer: </strong>Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>US Applicants: </strong>View<a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf"> Employee Rights</a>,<a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf"> Know Your Rights</a>, and<a href="https://static-assets.coinbase.com/e-verify.pdf"> E-Verify</a> Notice of Participation.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Accommodations: </strong>If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.&nbsp;Need screen reading technology?<a href="https://chromewebstore.google.com/detail/screen-reader/kgejglhpjiefppelpmljglcjbhoiplfn"> Click here</a> to download a free compatible screen reader and view the<a href="http://www.chromevox.com/tutorial/"><strong> </strong>tutorial</a>.</em></span></li>
<li style="font-style: italic; font-size: 8pt;"><span style="font-size: 8pt;"><em><strong>Data Privacy &amp; Arbitration: </strong>By submitting your application, you agree to our<a href="https://www.coinbase.com/legal/applicant_privacy_notice"> Candidate Privacy Notice</a>. US applicants: By submitting your application, you agree to<a href="https://www.coinbase.com/legal/application-arbitration-agreement"> Arbitration of Disputes</a>.<br></em></span></li>
</ul>
<div id="fortidlp-input-element-parent"></div></div>

Senior Data Scientist, Product

<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>

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