Sr Applied Data Scientist - Supply Chain Optimization

The Sr Applied Data Scientist - Supply Chain Optimization role at Target involves developing and managing state-of-the-art predictive and prescriptive algorithms to automate and optimize supply chain decisions at scale. The position requires collaborating with engineers and business partners to design, deploy, and refine high-performant Python code and mathematical models for inventory, transportation, and distribution networks. This role focuses on leveraging operations research, simulation, and machine learning to drive intelligent, end-to-end supply chain business decisions.