Shape supply chain decisions through applied machine learning and optimization, supporting routing, scheduling, and resource allocation systems at scale.
As a Senior Data Scientist, you will enhance model components under the Data Science Lead. Your work combines predictive modeling, feature engineering, MILP, heuristic methods, and operational constraints. You will align analytical outcomes with business needs while supporting reliable decision systems.
Key Responsibilities: Apply predictive modeling and feature engineering for decision systems
Integrate machine learning with optimization frameworks
Incorporate operational constraints into analytical models
Analyze cost, service-level, and feasibility trade-offs
Validate inputs and improve model accuracy
Requirements: Eight-plus years in data science or related fields
Robust experience with optimization and machine learning
Experience with vehicle routing or scheduling
Proficiency in Python and SQL
Supply chain or logistics experience preferred
Use applied machine learning and optimization expertise to improve supply chain efficiency, service levels, and operational feasibility.