{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/senior-data-scientist-ml-incentives"},"x-facet":{"type":"title","slug":"senior-data-scientist-ml-incentives","display":"Senior Data Scientist, ML (Incentives)","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_992c7db6-b6b"},"title":"Senior Data Scientist, ML (Incentives)","description":"<p>Join us in building the future of finance.</p>\n<p>Our mission is to democratize finance for all.</p>\n<p>An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.</p>\n<p>If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.</p>\n<p><strong>About the team + role</strong></p>\n<p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.</p>\n<p>Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.</p>\n<p>We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.</p>\n<p>The Incentives Data Science team sits at the intersection of Product, Marketing, Finance and Machine Learning.</p>\n<p>Our mission is to enable sustainable, data-driven growth by building modeling, measurement, and optimization systems that drive activation, retention, and revenue at scale.</p>\n<p>We partner closely with cross-functional teams across Robinhood to design, evaluate, and operationalize incentive programs that efficiently acquire, activate, and retain customers.</p>\n<p>As a Senior Data Scientist, ML, you will lead the end-to-end design, optimization, and evolution of Robinhood’s incentive systems.</p>\n<p>You’ll build predictive and causal ML models, design experimentation frameworks, and develop decisioning and allocation algorithms that directly influence how millions of users engage with Robinhood.</p>\n<p>This is a rare opportunity to own highly impactful ML systems while shaping incentive strategy at company scale!</p>\n<p>This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.</p>\n<p>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.</p>\n<p>Our office experience is intentional, energizing, and designed to fully support high-performing teams.</p>\n<p><strong>What you’ll do</strong></p>\n<ul>\n<li>Build, deploy, and iterate on predictive and causal models for incentive targeting</li>\n</ul>\n<ul>\n<li>Design and evaluate experiments to measure incremental impact, payback, and ROI of promotional programs</li>\n</ul>\n<ul>\n<li>Partner cross-functionally with Product, Finance, Marketing, and Engineering to inform scalable incentive strategies</li>\n</ul>\n<ul>\n<li>Design and optimize incentive allocation algorithms under budget and policy constraints to maximize incremental impact</li>\n</ul>\n<ul>\n<li>Monitor production systems, analyze user behavior, and propose algorithmic and policy improvements</li>\n</ul>\n<ul>\n<li>Influence the long-term vision for growth modeling at Robinhood, including personalization and cross-sell optimization</li>\n</ul>\n<p><strong>What you bring</strong></p>\n<ul>\n<li>5+ years of experience applying ML in production, ideally in growth, incentives, marketplace, or personalization domains</li>\n</ul>\n<ul>\n<li>Proven track record owning models end-to-end , from design and development to deployment and iteration</li>\n</ul>\n<ul>\n<li>Deep expertise in predictive modeling, uplift modeling, causal inference, and experimentation design</li>\n</ul>\n<ul>\n<li>Strong technical skills in Python, SQL, and ML frameworks (e.g., scikit-learn, XGBoost, PyTorch or TensorFlow)</li>\n</ul>\n<ul>\n<li>Experience working with Airflow and production pipelines, as well as tools for causal ML and experimentation</li>\n</ul>\n<ul>\n<li>Excellent product intuition and ability to translate ambiguous goals into measurable algorithmic solutions</li>\n</ul>\n<ul>\n<li>Strong communication and stakeholder management skills, with the ability to influence across teams</li>\n</ul>\n<ul>\n<li>A collaborative and growth-minded approach, with strong technical leadership and a consistent focus on impact and ROI</li>\n</ul>\n<p><strong>What we offer</strong></p>\n<ul>\n<li>Challenging, high-impact work to grow your career</li>\n</ul>\n<ul>\n<li>Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching</li>\n</ul>\n<ul>\n<li>Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents</li>\n</ul>\n<ul>\n<li>Lifestyle wallet – a highly flexible benefits spending account for wellness, learning, and more</li>\n</ul>\n<ul>\n<li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits</li>\n</ul>\n<ul>\n<li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li>\n</ul>\n<ul>\n<li>Exceptional office experience with catered meals, events, and comfortable workspaces</li>\n</ul>\n<p>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</p>\n<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.</p>\n<p>The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones.</p>\n<p>For other locations not listed, compensation can be discussed with your recruiter during the interview process.</p>\n<p>Base Pay Range:</p>\n<p>Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $187,000-$220,000 USD</p>\n<p>Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $165,000-$194,000 USD</p>\n<p>Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $146,000-$172,000 USD</p>\n<p>Click here to learn more about our Total Rewards, which vary by region and entity.</p>\n<p>If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.</p>\n<p>Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws.</p>\n<p>Inclusion is built into how we hire and work,welcoming different backgrounds, perspectives, and experiences so everyone can do their best.</p>\n<p>Please review the Privacy Policy for your country of application.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_992c7db6-b6b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Robinhood","sameAs":"https://www.robinhood.com/","logo":"https://logos.yubhub.co/robinhood.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/robinhood/jobs/7596426?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Base Pay Range: Zone 1 (Menlo Park, CA; 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