Principal Data Scientist - Supply Chain Network Planning and Design

The pay range is $168,000.00 - $303,000.00 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 yourself and your family. 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 https://corporate.target.com/careers/benefits . JOIN TARGET AS A PRINCIPAL DATA SCIENTIST – NETWORK PLANNING AND DESIGN About this role: As a Principal Data Scientist – Network Planning & Design , you will serve as a senior technical leader shaping the advanced analytics and operations research capabilities that power Target's long-term supply chain strategy. You will architect optimization models, simulations, digital twins, and forecasting solutions that inform significant network and capital investment decisions. You will also own the organization's decision capability roadmap and lead the team's agile execution, translating strategic priorities into scalable analytical solutions. This role combines deep technical expertise, strategic thinking, and cross-functional influence. Key Responsibilities Advanced Modeling & Technical Leadership • Architect and advance optimization, simulation, forecasting, and digital twin capabilities supporting network footprint, capacity, inventory, product flow, and transportation decisions. • Apply advanced operations research and data science methods to solve complex, ambiguous problems at enterprise scale. • Establish technical standards for model architecture, validation, scalability, and reproducibility. • Mentor data scientists and elevate technical rigor across the team. Decision Capability Roadmap & Agile Execution • Own and evolve the decision capability roadmap, aligning analytical investments with long-term network strategy and business priorities. • Translate strategic needs into prioritized capabilities, technical requirements, and delivery milestones. • Lead team scrum routines, including sprint planning, backlog refinement, stand-ups, reviews, and retrospectives. • Drive delivery against the roadmap, managing dependencies, risks, and trade-offs to ensure measurable business value. Enterprise Influence & Innovation • Partner across Supply Chain, Finance, Technology, Operations, and Strategy to translate complex business challenges into analytical solutions. • Influence senior leaders through clear communication of modeling insights, uncertainty, and strategic trade-offs. • Advance the use of optimization solvers, cloud computing, machine learning, and AI to improve modeling performance and decision quality. • Partner with Engineering and Product teams to operationalize models into scalable decision-support tools. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About You: • PhD or MS in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Statistics, Data Science or related quantitative industry experience • Extensive supply chain, logistics, transportation or large-scale network design experience • 8+ years of experience applying operations research, mathematical optimization, simulation or advanced analytics to comple