Lead data science projects from discovery through delivery, applying statistical modeling, forecasting, experimentation, and AI to optimize pricing, resource allocation, operations, and customer experiences. Build analytical workflows and AI-enabled applications using Python and SQL, collaborate with Engineering on deployment and monitoring, and communicate data-driven recommendations and trade-offs to business and technical stakeholders.