Data Scientist

Functional Scope:• BOM/Configuration Mix classifier — builds model to predict series and part-number mix from family-group-level demand• Parallel model development — works alongside DS Lead on separate model tracks to avoid single-threading• Net demand model — incorporates salvage, rerun, repair signals to calculate total manufacturing need• Feature engineering execution — implements feature pipelines designed by DS Lead• Model experimentation — runs hyperparameter tuning, ablation studies, feature importance analysis• Documentation — model cards, experiment logs, accuracy reportsMust Have:• ML modeling (classification + regression)• Python + scikit-learn + LightGBM/XGBoost• SageMaker experience (training jobs, hyperparameter tuning)• Comfortable working under direction of Lead DS• Strong documentation habitsNice to Have:• Multi-class classification experience• Exposure to manufacturing/inventory dataJob Title: Data Scientist (Models)Top Skills Required: Leads model design and training across all four use cases: New Demand forecast(DeepAR, XGBoost, Chronos-2), Install-Base Failure Prediction (Weibullsurvival analysis), BOM/Config Mix Prediction, and Total Demand Lifecycle.Hands-on model architecture plus team mentorship.