Robinhood is seeking a Staff Data Scientist for their Experimentation Platform team in Menlo Park, CA. The role focuses on shaping the statistical foundations of experimentation systems to enhance product velocity and business outcomes.
About the Role
As a Staff Data Scientist, you will evaluate current experimentation practices, enhance statistical methodologies, partner with engineering to build scalable tools, develop best practices for experimentation, consult with teams for rigorous experimental design, and contribute to roadmap planning for platform development.
About You
Required:
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.
Preferred:
Experience contributing to or building experimentation tooling.
Benefits
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 including 100% paid health insurance for employees with 90% coverage for dependents.
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.
Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more.
Exceptional office experience with catered meals, events, and comfortable workspaces.