Senior Data Scientist, Experimentation

<div class="content-intro"><h2>Join us in building the future of finance.</h2> <p>Our mission is to democratize finance for all. <a href="https://www.cerulli.com/press-releases/cerulli-anticipates-124-trillion-in-wealth-will-transfer-through-2048" target="_blank">An estimated $124 trillion of assets</a> 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.</p></div><h2><span style="font-size: 14pt;"><strong>About the team + role</strong></span></h2> <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. 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.<strong><br></strong></p> <p>The <strong>Experimentation Platform</strong> 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, empowering teams to learn quickly and make confident decisions. The team’s work has a direct impact on product velocity and business outcomes, driving a culture of data-informed innovation across Robinhood.</p> <p>As a <strong>Data Scientist</strong> on the Experimentation Platform team, you will play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data teams to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. This is a high-impact role with the opportunity to define how we learn and iterate across our products.</p> <p>This role is based in our <strong>Menlo Park</strong> office(s), with in-person attendance expected at least 3 days per week.</p> <p>At 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.<br><br><span style="font-size: 14pt;"><strong>What you’ll do</strong></span></p> <ul> <li>Evaluate current experimentation practices across Robinhood and identify areas for improvement.</li> <li>Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques.</li> <li>Partner with engineering to build scalable tools and infrastructure for experimentation.</li> <li>Develop and evangelize best practices for experimentation across cross-functional teams.</li> <li>Consult with data science and product teams to ensure rigorous experimental design and interpretation.</li> <li>Contribute to roadmap planning by identifying high-leverage opportunities for platform development.</li> </ul> <h2><span style="font-size: 14pt;"><strong>What you bring </strong></span></h2> <ul> <li>Master’s or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences).</li> <li>3+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment.</li> <li>Deep expertise in statistic ... (truncated, view full listing at source)