Principal Data Scientist - Supply Chain Network Planning and Design
Job Description
Principal Data Scientist role focused on advancing Target’s supply chain network planning through advanced analytics and operations research.
Responsibilities
- Architect and grow optimization, simulation, forecasting, and digital twin capabilities for decisions across network footprint, capacity, inventory, product flow, and transportation
- Use advanced operations research and data science to address complex, ambiguous enterprise problems
- Define technical standards for model architecture, validation, scalability, and reproducibility
- Mentor data scientists and raise technical rigor across the team
- Own and evolve the decision capability roadmap aligned to 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 by managing dependencies, risks, and trade-offs to deliver measurable business value
- Collaborate with Supply Chain, Finance, Technology, Operations, and Strategy to convert complex business challenges into analytical solutions
- Communicate modeling insights, uncertainty, and strategic trade-offs to senior leaders
- Advance optimization solvers, cloud computing, machine learning, and AI to improve modeling performance and decision quality
- Work with Engineering and Product teams to operationalize models into scalable decision-support tools
Requirements
- PhD or MS in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Statistics, Data Science, or related quantitative industry experience
- Extensive experience in supply chain, logistics, transportation, or large-scale network design
- 8+ years applying operations research, mathematical optimization, simulation, or advanced analytics to complex business problems at scale
- Deep expertise in optimization and quantitative modeling, with proficiency in Python, SQL, and optimization solvers including Gurobi, CPLEX, and Pyomo
- Experience architecting scalable analytical models and decision-support capabilities
- Demonstrated ability to define technical roadmaps, prioritize analytical investments, and lead agile delivery
- Strong systems thinking and technical judgment, with ability to influence senior leaders and global teams
- Experience mentoring technical talent and driving cross-functional alignment
Technologies
- Python
- SQL
- Gurobi
- CPLEX
- Pyomo
- Cloud computing
- Machine learning
- AI
Benefits
- Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
- 401(k)
- Employee discount
- Short term disability
- Long term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
- Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits
- Salary range: USD 168,000 - 303,000 per year
- Location: Minneapolis, MN (hybrid)
- Hybrid/Flex for Your Day: team member’s core role may require onsite work at Target HQ MN and virtual work depending on role, team, and day-to-day task needs
- Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target
ADA
- Target makes reasonable accommodations for applicants with disabilities in compliance with state and federal laws
- If you need an accommodation to participate in the job application or interview process, reach out to [email protected]
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