Staff Data Scientist, Experimentation Platform

• 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

• 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

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• 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