Director of Data Sciences: Network Planning & Design

Roundel; Minneapolis, Northern (MN, KY); Hybrid; USD 168,000 - 356,000; Full time

Benefits offered by this job

Health benefits

Hybrid work model

401(k) and employee discounts

Paid time off and holidays

Job summary

Target is seeking a Director of Data Sciences – Network Planning and Design to lead a high-performing team responsible for building optimization models, simulations, digital twins and forecasting used to shape Target’s long-term supply chain architecture. You will translate business questions into quantitative frameworks and partner across Supply Chain, Finance, Technology and Stores to deliver impact.

The role requires an MS/PhD in a relevant field, 10+ years leading analytics teams, and deep

Qualifications

• PhD or MS in a relevant field with extensive experience leading data science teams.
• Proven expertise in optimization, simulation, forecasting, ML, and network planning.
• Strong collaboration and communication skills to influence senior leaders.

Responsibilities

• Lead the data science and OR teams powering network design and planning decisions.
• Develop and evolve optimization, simulation, forecasting, digital twin, and ML models.
• Partner with engineering, product and technology to deploy scalable decision-support tools.

Skills

Python

Scala

Java

SQL

R programming

Leadership

Communication

Education

PhD or MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics or relevant industry experience

Job description

Target is seeking a Director of Data Sciences – Network Planning and Design to lead a high-performing team responsible for building optimization models, simulations, digital twins and forecasting used to shape Target’s long-term supply chain architecture. You will translate business questions into quantitative frameworks and partner across Supply Chain, Finance, Technology and Stores to deliver impact.

The role requires an MS/PhD in a relevant field, 10+ years leading analytics teams, and deep