Applied Data Scientist - Supply Chain Optimization

The pay range is $90,500.00 - $162,800.00
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 US AS AN APPLIED 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 algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams - you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Supply Chain Optimization, Marketing, Network Security and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance to elevate Target’s culture and apply retail domain knowledge.
As a Data Scientist in the Supply Chain Optimization, team your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. These will allow you to perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications while also adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD, etc.) and create a well maintainable and tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R) we well as learn best practices in data analysis and data understanding.
As you follow Agile processes, you will implement prototypes for individual components of software or data science solutions and leverage basic data structures and algorithms in implementing solutions. Leverage your high-level understanding in business domain to gain knowledge of high-level Target business priorities, strategic goals and their impact as well as details of the specific business sub-problem you’re focused on. You will collaborate with peers on their products, document, present work to peers and participate in code reviews to gain broader understanding of different components within the application. The exciting part of retail? It is always changing!
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
Strong fundamentals in Probability, Statistics and Mathematics
Experience in applying advanced statistical techniques like regression, clustering, PCA, forecasting, etc.
Demonstrated knowledge of at least one of the following domains: data science, ML engineering, optimization or simulation
Analytical thinking skills with an ability to creatively solve business problems, innovating new approaches where required
Strong hands-on programming skills in Python, Kotlin or similar
Ability to apply coding best practices: write clean, reusable, and repeatable code with an emphasis on testing/validation and continuous refactoring
Extensive experience in SQL, Spark, Hadoop/Hive, cloud computing or similar
Passion for solving interesting and relevant real-world problems while documenting your work
Excellent communication skills and ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives
Strong team player with ability to collaborate effectively across geographies/time zones
Self-driven and results oriented
Preferred:
MS or PhD in a quantitative discipline
Knowledge of Supply Chain theories: inventory, replenishment, network planning, operations research, etc.
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 Sunnyvale 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.
Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
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 candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 10/15/2026