Data Scientist - Supply Chain

Mopar • Auburn Hills, Michigan • Posted June 15, 2026

Position Overview

We’re building an AI-enabled supply chain that predicts, prescribes, and acts. As a Supply Chain Data Scientist, you’ll develop predictive, prescriptive, optimization, anomaly detection, and simulation models that improve cost, service, and resilience across planning, logistics, and operations.

You will partner with data engineering, AI engineering, and business stakeholders to translate problems into deployable solutions-delivering decision signals that are embedded into operational workflows, planning systems, and agentic experiences.

Responsibilities include but not limited to: 

  • Build predictive models for key supply chain processes using statistical, machine learning, and deep learning techniques

  • Develop prescriptive analytics and optimization models to recommend optimal actions under real-world constraints

  • Quantify tradeoffs between cost, service, capacity, and risk

  • Detect variability, disruptions, and anomalies...