Enhance the statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques

Evaluate current experimentation practices across Robinhood and identify areas for improvement

Partner with engineering to build scalable tools and infrastructure for experimentation

Identify and drive opportunities to integrate AI-powered capabilities into the experimentation platform, automating workflows, accelerating experimentation velocity, and improving decision-making

Develop and champion experimentation best practices, enabling teams to design, analyze, and interpret experiments with statistical rigor

Serve as a statistical expert and trusted partner to data science and product teams, providing guidance on complex experimental designs and causal inference challenges

Shape the experimentation platform roadmap by identifying high-impact opportunities, prioritizing initiatives, and driving solutions from concept through implementation and adoption

Master's or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences)

3+ 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

Experience partnering with engineering and product teams to translate statistical methodologies into production-ready tools and platform capabilities

Senior Data Scientist, Experimentation

Responsibilities

Benefits

Company

Robinhood

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