Data Scientist

• Design and execute controlled experiments or causal inference studies (e.g., A/B tests, quasi-experiments) to measure the true incremental impact of product or operational initiatives
• Drive causal insights behind core KPIs through robust statistical methods, and design experiments beyond A/B testing (e.g., multi-armed bandits, sequential tests, quasi-experiments)
• Develop and implement data-driven models to improve inventory availability and productivity
• Collaborate with data engineering teams to ensure data accessibility, integrity, and scalability for modeling and experimentation purposes
• Build the foundation for experimentation at scale by developing shared frameworks, tools, and documentation that standardize methodologies and establish robust standards for experimental integrity
• Communicate meaningful, actionable insights from large data and metadata sources to stakeholders to drive strategic adoption of data science models
• Explore cutting-edge intersections of generative AI and causal inference, developing LLM-driven prototypes that demonstrate new analytical and experimental capabilities

Data Scientist II, Enterprise Data Science, AI

Actuarial Data Scientist III

Senior Data Scientist

Data Science Intern