• Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization • Own A/B testing strategy and causal measurement for product features and partner performance • Partner with engineers to productionize models and integrate them into live systems • Build analyses, dashboards, and tools that inform product strategy and customer outcomes • Define metrics and success criteria for new initiatives • Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations • Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack • Raise the bar for statistical rigor and experimentation across the company