Senior Data Scientist - Network Planning & Optimization

Target; Minneapolis (MN); Hybrid; USD 168,000 - 303,000; Full time

Job summary

Target is seeking a Principal Data Scientist for Network Planning & Design to lead advanced analytics shaping long-term supply chain strategy. You will architect optimization models, simulations, digital twins, and forecasting solutions to inform network and capital decisions.

You will own the decision capability roadmap, translate priorities into scalable analytical solutions, and mentor a team of data scientists in an agile environment.

Qualifications

• PhD or MS in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Statistics, Data Science or related quantitative field.
• Extensive supply chain, logistics, transportation or large-scale network design experience.
• 8+ years applying operations research, mathematical optimization, simulation or advanced analytics to complex problems at scale.
• Experience mentoring data scientists and leading agile delivery teams.

Responsibilities

• Architect optimization, simulation, forecasting, and digital twin capabilities for network decisions.
• Own the decision capability roadmap and agile delivery with measurable business value.
• Partner with Supply Chain, Finance, Technology, Operations and Strategy to translate challenges into analytical solutions.
• Influence senior leaders with modeling insights, uncertainty, and strategic trade-offs.

Skills

Optimization modeling

Python

SQL

Data science

Cross-functional leadership

Roadmap planning

Mentoring

Education

PhD or MS in OR/related field

Tools

Gurobi

CPLEX

Pyomo

Job description

Target is seeking a Principal Data Scientist for Network Planning & Design to lead advanced analytics shaping long-term supply chain strategy. You will architect optimization models, simulations, digital twins, and forecasting solutions to inform network and capital decisions.

You will own the decision capability roadmap, translate priorities into scalable analytical solutions, and mentor a team of data scientists in an agile environment.