We are seeking a Lead Data Scientist to drive core modeling execution including running competitive model bake-offs selecting champion models performing model evaluation and implementing anomaly detection. Responsibilities Conduct model experimentation and bake-offs across multiple algorithmic families (tree-based regressors statistical forecasting deep learning optimization) Select and justify the champion model based on cross-validation and business-defined error metrics Implement anomaly detection algorithms to identify outliers and operational disruptions in historical demand data Track and log experiments using MLflow within the Microsoft Fabric environment Partner with Data Engineering and BI teams to ensure seamless feature delivery and prediction consumption Requirements Advanced degree or equivalent experience in Data Science Statistics Operations Research or Computer Science Expertise in Time Series Forecasting Machine Learning and … Sign In to View