Data Scientist (AI) for Demand Forecasting (m/f/d)
Core
Develop and tune time-series models and hierarchical forecasting methods to transform raw data into actionable demand signals for procurement, logistics, and financial strategy.
Role type
Senior IC data scientist (time-series forecasting)
Builds
Production forecasting engine and dashboards for demand planning
Domain
Automotive / Supply Chain
Deliverable
production ML models
Required skills
Python (polars, scikit-learn), time-series modeling, hierarchical forecasting, SQL, ETL pipeline design, PowerBI, Git
Preferred skills
R, R Shiny, deep learning (Temporal Fusion Transformers, N-BEATS), XGBoost, LightGBM
Technologies
ARIMA, Exponential Smoothing, XGBoost, LightGBM, Temporal Fusion Transformers, N-BEATS, MinT, PowerBI, polars, scikit-learn
Responsibilities
Develop and tune time-series models ranging from classical econometric approaches to modern ML and deep learning; Implement reconciliation methods to ensure forecast consistency across product hierarchies; Conduct rigorous back-testing and A/B testing of model versions; Develop dashboards visualizing forecast results, uncertainty, and explainable AI outputs; Optimize model inference times with Data Engineers
Seniority
Senior, hands-on IC
