Lead Data Scientist Supply Chain Optimization (applied ML, simulation)

Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and 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 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 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 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.

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!

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 were 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 duties may change at any time due to business needs.

About you:

• 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 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

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 Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.