Data Scientist - Supply Chain
Auburn Hills, MI, United States
USD 143K-223K (estimate) Senior-level Full Time
Tasks
- Build predictive models for supply chain processes
- Build simulation and scenario models
- Detect variability disruptions and anomalies
- Develop prescriptive analytics and optimization models
- Enable AI and agentic workflows with predictive and prescriptive signals
- Merge and analyze large complex datasets
- Quantify cost service capacity and risk tradeoffs
- Translate business problems into data science solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Clustering | Constraint Programming | Databricks | Decision Trees | Deep learning | Discrete Event Simulation | Discrete event | Event simulation) | Integer Programming | Linear Programming | Machine Learning | Mixed Integer | Mixed-Integer Programming | Monte Carlo | Neural Networks | NumPy | Optimization | Pandas | PyTorch | Python | Regression | SQL | Scikit-learn | Snowflake | Statistical modeling | TensorFlow | XGBoost
Education
Roles
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