Lead Data Scientist - Network Planning & Design (Hybrid)

Target; Minneapolis (MN); Hybrid; USD 132,000 - 286,000; Full time

Job summary

Target Data Sciences – Supply Chain Optimization seeks a Lead Data Scientist to shape Target’s long‑term network planning and design through optimization, simulation, forecasting and ML capabilities.

You will collaborate with Engineering, Product and Technology to translate analytical models into scalable decision‑support tools, mentor analysts, and influence executive decisions across the supply chain while operating in a Hybrid/Flex work arrangement.

Qualifications

• PhD/MS in Operations Research, Industrial Engineering, CS, Math, Stats, Physics or related field.
• Experience leading large-scale optimization, simulation and ML modeling end to end.
• Strong programming and production deployment of analytical models.

Responsibilities

• Define and structure supply chain problems for decision-making with cross-functional teams.
• Synthesize insights into narratives for executive audiences to guide decisions.
• Own development of optimization, simulation, forecasting, digital twins and ML capabilities.

Skills

Python

R

Kotlin

Java

SQL

ML/AI modeling

Education

PhD or MS in Operations Research / Industrial Engineering / CS / Math / Stats / Physics

Tools

Gurobi

Job description

Target Data Sciences – Supply Chain Optimization seeks a Lead Data Scientist to shape Target’s long‑term network planning and design through optimization, simulation, forecasting and ML capabilities.

You will collaborate with Engineering, Product and Technology to translate analytical models into scalable decision‑support tools, mentor analysts, and influence executive decisions across the supply chain while operating in a Hybrid/Flex work arrangement.