Lead Data Scientist - Supply Chain Optimization

The pay range is $128,000.00 - $231,000.00

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 ;br>
JOIN TARGET AS LEAD DATA SCIENTIST - SUPPLY CHAIN OPTIMIZATION

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role with Target Data Sciences means the chance to help develop and manage state of the art predictive and prescriptive algorithms that use data to automate and optimize decisions at scale. The Target Data Sciences - Supply Chain Optimization team leverages operations research, simulation, and machine learning to help Target makes intelligent supply chain business decisions. This involves writing high-performant, scalable code as well as designing analytical solutions to extract insights and to prescribe best courses of action.

You'll work in an environment that provides the freedom and agility of a startup - with the security and vast resources of a large established company with continuous learning opportunities provided. Our team aims to be inclusive, collaborative, highly motivated, smart, and humble!

In this role at Target as a Lead Data Scientist - Supply Chain Optimization, you will:

• Work closely with fellow data scientists to review and iterate on optimization and machine learning algorithms and develop state of the art mathematical models
• Collaborate with engineers to design, deploy and productionize models at scale. Our models run many times a day for millions of combinations of stock keeping units and distribution networks
• Work with business partners to learn about the retail business and processes in play
• Ideate and resolve tradeoffs between model granularity and features as well as performance, reliability, and usability of our codebase. Improve engineering standards, tooling, and processes
• Mentor and develop other data scientists and engineers

What we're looking for:

• You have a strong knowledge of supply chain optimization - inventory, transportation, sourcing, distribution, fulfillment and planning
• You have a passion and technical skills for helping Target make data-informed decisions
• You possess strong computer science fundamentals and love rock-solid, well-structured, and efficient code: data structures, algorithms, programming and information retrieval
• You write understandable, testable Python code with an eye towards maintainability
• A passion for empirical research and answering hard questions with large scale data
• You are a strong communicator. Explaining complex technical concepts to the business and other data scientists/engineers is no problem for you
• You understand that simplicity is hard but key to achieving maintainability and to being able to continually deliver value to the business
• You have usability and convenience for business users in mind

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

About you:

• 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent work experience
• PhD/MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics or related quantitative field
• 5+ years of experience leading large-scale implementations of supply chain optimization, simulation and machine learning modeling at scale
• Demonstrated proficiency in one or more programming languages: Python, R, Kotlin or Java
• Demonstrated experience writing highly performant code and deploying algorithms in a production environment. Proficient in predictive and prescriptive algorithms
• Experience in application/software architecture (definition, process modeling, etc.)
• Experience writing production datasets in SQL/Hive or building internal/production data tools for research or experimentation in a scripting language like Python
• Passion for solving relevant real-world problems using a data science approach
• Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series), etc.
• Experience producing reasonable documents/narratives suggesting actionable insights
• Excellent communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
• Self-driven and results oriented; able to meet tight timelines
• Collaborative team player with ability to partner effectively across time zones

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: _E

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to

Application deadline is : 07/24/2025