Data Scientist
Core
Automate forecasting and scenario simulation for Sales, Finance, and Commercial Support; identify business problems solvable via statistics, ML, or AI; develop and deploy predictive models.
Role type
Data Scientist (Forecasting & Predictive Analytics)
Builds
Production ML models for sales forecasting, financial planning, and commercial support workflows.
Domain
Automotive / Global Business Services (Shared Services)
Deliverable
production ML models
Required skills
Python (Pandas, NumPy, scikit-learn), PySpark, Databricks, Azure ML Studio, SQL, Machine Learning (regression, classification, time-series, anomaly detection), Statistics, Feature Engineering, Model Evaluation
Preferred skills
MLOps (MLflow), LLMs/GenAI, Power BI, ERP systems (SAP, Oracle), FP&A/Demand Planning background
Technologies
Databricks, Azure ML Studio, PySpark, Python, SQL, MLflow, Power BI
Responsibilities
Automate forecasting processes for Sales and Finance; develop and optimize ML models for predictive analytics; deploy and monitor models in production; communicate insights to stakeholders; ensure model governance and data quality.
Seniority
Mid-level (2–5 years experience)