Staff Data Scientist, Experimentation Platform

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.

The 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, 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.

As a Staff Data Scientist 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.

This role is based in our Menlo Park office(s), 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

• Evaluate current experimentation practices across Robinhood and identify areas for improvement.
• Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques.
• Partner with engineering to build scalable tools and infrastructure for experimentation.
• Develop and evangelize best practices for experimentation across cross-functional teams.
• Consult with data science and product teams to ensure rigorous experimental design and interpretation.
• Contribute to roadmap planning by identifying high-leverage opportunities for platform development.

What you bring

• Master’s or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences).
• 6+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment.
• Deep expertise in statistical methods such as multivariate testing, adaptive experimentation, bayesian inference and machine learning techniques.
• Proficiency in Python or R for data analysis and experimentation workflows.
• Strong communication skills, a collaborative mindset, and a proactive approach to problem-solving.
• Experience contributing to or building experimentation tooling is a plus.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flex