Director of Data Sciences - Supply Chain Network Planning and Design

Director of Data Sciences
- Supply Chain Network Planning and Design The pay range is $ - $

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of your whole selves. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.

Find competitive benefits from financial and education to well-being and beyond at

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Target's Supply Chain is a large-scale, highly interconnected network spanning inventory, fulfillment, transportation, stores and distribution. Designing how that network should evolve requires solving complex decisions under uncertainty - balancing guest experience, cost, capacity, speed, resilience and capital investment.

The Director of Data Sciences
- Network Planning and Design leads the data science and operations research capabilities that power these decisions. In this role, you will lead a team of data scientists responsible for building the analytical models and decision-support systems that shape Target's long-term supply chain architecture and investment roadmap. Your team will develop and evolve a portfolio of optimization models, simulations, digital twins, forecasting and capacity models as well as scenario-planning tools used to evaluate billions of dollars in potential network and capability investments.

Lead, develop, and inspire a high-performing team of data scientists and operations research practitioners

Set the analytical vision and roadmap for Network Planning & Design, translating strategic business questions into quantitative decision frameworks

Serve as a thought leader in advanced analytics and supply chain network design, connecting technical work to business strategy

Partner across Supply Chain, Finance, Technology, Stores, and other teams to ensure analytical capabilities address Target's most important network decisions

Influence VP+ leaders by clearly communicating recommendations, trade-offs, uncertainty, and business impact

Lead the development of optimization, simulation, forecasting, digital twin, and machine learning capabilities supporting Target's long-term network strategy

Apply operations research and advanced analytics to decisions including network footprint, capacity planning, inventory placement, product flow, automation, transportation and reverse logistics

Ensure models accurately represent real-world constraints, uncertainty, and operating dynamics while remaining scalable and actionable

Establish strong practices for scenario analysis, sensitivity testing, model validation, and decision support

Build reusable analytical capabilities that enable faster and more consistent strategic decision-making

Partner with Engineering, Product, and Technology teams to transform analytical models into scalable decision-support tools and products

Advance the use of modern optimization solvers, cloud computing, machine learning, and AI where they improve model performance or decision quality

Establish strong practices for model governance, reproducibility, testing, documentation, and auditability

Champion experimentation and emerging methods that advance Target's network planning capabilities

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

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

10 plus years of experience leading and developing teams of applied data scientists and operations research scientists in optimization, simulation and advanced analytics

5 plus years of experience in mathematical optimization, simulation, forecasting, machine learning, statistical modeling and network modeling/planning

Extensive experience in supply chain, logistics, retail, transportation, manufacturing or other large-scale network environments strongly preferred

Significant demonstrated expertise in optimization theory (deterministic/stochastic), dynamic…