Principal Data Scientist

Build and operationalize production-grade data science solutions for business needs like customer propensity, product forecasting, and recommender systems. Own end-to-end development from requirements through validation and implementation, partnering with data engineering and ML Ops to automate and continuously deliver models. Monitor for degradation and drift to maintain performance, and collaborate with business decision makers to iterate, test, and improve how teams operate.