Own the full lifecycle of applied machine learning products, from framing customer problems and building operational data pipelines to deploying, monitoring, and evaluating models in production. Create features using Snowflake and dbt, apply supervised learning, forecasting, ranking, recommendation, or optimization methods, and measure customer and business impact through experimentation and causal analysis. Partner with Product and Engineering to deliver explainable, trusted decision-support products, while using coding agents and verification scaffolding to accelerate safe delivery.