{"id":4296133,"url":"https://alion.io/job/robinhood-senior-data-scientist-experimentation","title":"Senior Data Scientist, Experimentation","company":{"id":1146,"name":"Robinhood","domain":"robinhood.com","url":"https://alion.io/company/robinhood","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":42,"ghost_share":0.024,"stale_share":0.595,"repost_share":0.048,"time_to_fill_p50_days":41,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Menlo Park, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":187000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-13T22:25:02Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T01:18:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join us in building the future of finance.\nOur mission is to democratize finance for all. 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. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.\nABOUT THE TEAM + ROLE\nWe 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. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. 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.\nThe Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, so teams can learn quickly and make confident decisions. We partner closely with engineering, product, and data teams across the company. The team's work has a direct impact on product velocity and business outcomes. Together, we're driving a culture of data-informed innovation across Robinhood.\nAs a Senior Data Scientist on the Experimentation Platform team, you'll play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data partners to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. You'll also explore how AI-powered capabilities can automate workflows and strengthen decision-making, while serving as a trusted statistical partner to data science and product teams. This is a high-impact role with the opportunity to define how we learn and iterate across our products!\nThis role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.\nAt Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.\nWHAT YOU'LL DO\nEnhance the statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques\nEvaluate current experimentation practices across Robinhood and identify areas for improvement\nPartner with engineering to build scalable tools and infrastructure for experimentation\nIdentify and drive opportunities to integrate AI-powered capabilities into the experimentation platform, automating workflows, accelerating experimentation velocity, and improving decision-making\nDevelop and champion experimentation best practices, enabling teams to design, analyze, and interpret experiments with statistical rigor\nServe as a statistical expert and trusted partner to data science and product teams, providing guidance on complex experimental designs and causal inference challenges\nShape the experimentation platform roadmap by identifying high-impact opportunities, prioritizing initiatives, and driving solutions from concept through implementation and adoption\nWHAT YOU BRING\nMaster's or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences)\n3+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment\nDeep expertise in statistical methods such as multivariate testing, adaptive experimentation, Bayesian inference, and machine learning techniques\nProficiency in Python or R for data analysis and experimentation workflows\nExperience partnering with engineering and product teams to translate statistical methodologies into production-ready tools and platform capabilities\nStrong communication skills, with the ability to explain complex statistical concepts and influence technical and non-technical stakeholders\nExperience building experimentation platforms or integrating AI-powered capabilities into data science workflows is a plus\nWHAT WE OFFER\nChallenging, high-impact work to grow your career\nPerformance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching\nTop Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents\nAccess to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds.\nAccess to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.\nLifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more\nEmployer-paid life & disability insurance, fertility benefits, and mental health benefits\nTime off to recharge including company holidays, paid time off, sick time, parental leave, and more!\nExceptional office experience with catered meals, events, and comfortable workspaces.\nIn addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.\nBase 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. 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. For other locations not listed, compensation can be discussed with your recruiter during the interview process.\nBase Pay Range:\nZone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)\n$187,000—$220,000 USD\nZone 2 (Denver, CO; Westlake, TX; Chicago, IL)\n$165,000—$194,000 USD\nZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)\n$146,000—$172,000 USD\nClick here to learn more about our Total Rewards, which vary by region and entity.\nIf our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.\nAI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.\nRobinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. 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