Senior Data Scientist: Network Optimization & Planning

Target Corp; Minneapolis (MN); Híbrido; USD 168.000 - 303.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

401(k)

Employee discount

Short-term disability

Long-term disability

Paid sick leave

Paid holidays

Paid vacation

Descripción de la vacante

Target Corp in Minneapolis invites you to join as Principal Data Scientist – Network Planning & Design. You will lead advanced analytics, build optimization models, simulations, and digital twins to guide network footprint, capacity, inventory, and transportation decisions.

You will mentor teams, own the decision capability roadmap, and collaborate with Supply Chain, Finance, Technology, and Operations to translate complex problems into scalable decision-support tools.

Formación

• PhD or MS in a quantitative field with 8+ years of OR/analytics experience.
• Extensive supply chain, logistics, transportation or large-scale network design experience.
• Proven ability to define technical roadmaps and lead agile delivery.
• Strong proficiency in Python, SQL and optimization solvers.

Responsabilidades

• Architect optimization, simulation, forecasting, and digital twin capabilities for network decisions.
• Own the decision capability roadmap and drive agile execution with cross-functional teams.
• Influence senior leaders by communicating modeling insights and strategic trade-offs.

Conocimientos

Optimization modeling

Python

SQL

Gurobi/CPLEX/Pyomo

Leadership

Mentoring

Agile delivery

Educación

PhD or MS in Operations Research / related quantitative field

Descripción del empleo

Target Corp in Minneapolis invites you to join as Principal Data Scientist – Network Planning & Design. You will lead advanced analytics, build optimization models, simulations, and digital twins to guide network footprint, capacity, inventory, and transportation decisions.

You will mentor teams, own the decision capability roadmap, and collaborate with Supply Chain, Finance, Technology, and Operations to translate complex problems into scalable decision-support tools.