Senior Data Scientist, Experimentation

Skills

About the Role

You will shape the statistical foundations of the experimentation platform, improving A/B testing methods and experiment velocity. You will evaluate current practices, build scalable tools with engineering, explore AI-powered automation, advise data science and product teams on experimental design and causal inference, and help shape the roadmap. The role is in Menlo Park with in-person attendance at least 3 days per week.

Requirements

• Master's or PhD in a quantitative field
• 3+ years of experience with A/B testing, causal inference, experimental design and statistical analysis
• Deep expertise in multivariate testing, adaptive experimentation, Bayesian inference and machine learning
• Proficiency in Python or R
• Experience partnering with engineering and product teams
• Strong communication skills
• Experience building experimentation platforms or integrating AI into data science workflows is a plus

Responsibilities

• Enhance statistical methodologies of the experimentation platform including A/B testing
• Evaluate current experimentation practices and identify improvements
• Partner with engineering to build scalable experimentation tools
• Integrate AI-powered capabilities into the platform
• Develop and champion experimentation best practices
• Advise data science and product teams on experimental design and causal inference
• Shape the experimentation platform roadmap

Benefits

• Bonus programs
• Equity ownership
• 401(k) matching
• 100% paid health insurance for employees with 90% coverage for dependents
• Robinhood Employee Fund access
• Access to AI tools and AI skill-building
• Lifestyle wallet
• Employer-paid life and disability insurance
• Fertility benefits
• Mental health benefits
• Company holidays, paid time off, sick time, parental leave
• Catered meals and events