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 systemsIntegrate machine learning with optimization frameworksIncorporate operational constraints into analytical modelsAnalyze cost, service-level, and feasibility trade-offsValidate inputs and improve model accuracyRequirements:
Eight-plus years in data science or related fieldsStrong experience with optimization and machine learningExperience with vehicle routing or schedulingProficiency in Python and SQLSupply chain or logistics experience preferredUse applied machine learning and optimization expertise to improve supply chain efficiency, service levels, and operational feasibility.
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