Data Scientist - Supply Chain Optimization (Applied ML)
Data Scientist - Supply Chain Optimization (Applied ML)
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$ 73200 - 131700
1 Vacancy
Job Description
Pay is based on several factors which vary based on include labor markets and in some instancesmay 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 benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at US AS A 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 withTargetData Sciencesmeans the chance to help develop and managestate of the art predictiveand prescriptive algorithmsthatuse data to automateand optimize decisions at scale. The Target Data Science Supply Chain Optimization team leverages operations research simulation and machine learning to help Target make 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.
Youll 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!
Core responsibilities of this job are described within this job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines - Operations Research Industrial Engineering Computer Science Mathematics Statistics Physics or related quantitative field
- 1 year of experience in supply chain optimization simulation and applied machine learning modeling
- Demonstrated hands-on programming skills in Python Kotlin Java or similar
- Experience writing clean reusable and repeatable code with an emphasis on testing/validation and continuous refactoring
- Extensive experience in SQL Spark Hadoop/Hive and cloud computing
- Strong analytical thinking skills with an ability to creatively solve business problems and innovating new approaches where required
- Passion for solving interesting and relevant real-world problems using data
- Experience in applying advanced statistical techniques like regression clustering PCA time series forecasting etc.
- Excellent communication skills and ability to clearly tell data driven stories through appropriate visualizations graphs and narratives
- Self-driven and results oriented team player with ability to collaborate effectively across geographies/time zones
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members 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.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: 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 : 07/17/2025Employment Type
Full-Time
