JOIN US IN BUILDING THE FUTURE OF FINANCE.

Our 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.

ABOUT THE TEAM + ROLE

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.
We’re looking for dedicated and ambitious data science leaders to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users. As a Data Scientist you’ll be part of a high-impact, cross-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of Robinhood products and deliver exceptional value to our customers.

THIS ROLE IS BASED IN OUR [MENLO PARK, CA] OFFICE, WITH IN-PERSON ATTENDANCE EXPECTED AT LEAST [3] DAYS PER WEEK.

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.

WHAT YOU’LL DO

• Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
• Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
• Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and inform decision-making.
• Create compelling data visualizations and narratives to effectively communicate insights and recommendations to cross-functional partners, collaborators, and senior leadership.
• Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
• Partner closely with Product, Engineering, Operations, and other cross-functional teams to integrate data-driven decision-making into product and business processes.
• Mentor other data scientists, contribute to standard methodologies, and help foster a data-informed culture across the organization.

IN ADDITION TO THE BASE PAY RANGE LISTED BELOW, THIS ROLE IS ALSO ELIGIBLE FOR BONUS OPPORTUNITIES + EQUITY + BENEFITS.

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. 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.
Base Pay Range: