Sr Data Scientist - Global Supply Chain and Logistics

About the role

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.

Responsibilities

• 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 and deploy algorithms in production 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

Requirements

• Strong knowledge of supply chain optimization – inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
• Strong computer science fundamentals and love rock-solid, well-structured, and efficient code: data structures, algorithms, programming languages, and information retrieval
• Strong technical and communication skills to deliver with quality and evangelize technical solutions to business, product and engineering partners
• Able to write understandable, testable code with an eye towards maintainability
• You constantly think about the end-user for solutions you develop, and prioritize business impact over technical sophistication
• Able to deal with ambiguity, and prioritize progress over perfection
• You have an eye for detail, and relentless curiosity for supply chain problems
• You have a knack for answering open questions with data
• You understand that simplicity is hard but key to achieving maintainability and to being able to continually deliver value to the business

Qualifications

• PhD or MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics, or related quantitative fields
• 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning modeling at scale
• Demonstrated experience writing highly performant code and deploying algorithms in a production environment. Proficient in predictive and prescriptive algorithms
• Proficient in one or more programming languages: Python, R, Kotlin, or Java
• Expert at formulating and implementing mathematical models ranging from mixed-integer programming, stochastic dynamic programming and reinforcement learning
• Experience in implementing advanced statistical techniques like regression, clustering, PCA, time series forecasting, etc.
• Proficient 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
• Able to produce reasonable documents and 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

Skills

• Strong knowledge of supply chain optimization – inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
• Strong computer science fundamentals and love rock-solid, well-structured, and efficient code: data structures, algorithms, programming languages, and information retrieval
• Strong technical and communication skills to deliver with quality and evangelize technical solutions to business, product and engineering partners
• Able to write understandable, testable code with an eye towards maintainability
• You constantly think about the end-user for solutions you develop, and prioritize business impact over technical sophistication
• Able to deal with ambiguity, and prioritize progress over perfection
• You have an eye for detail, and relentless curiosity for supply chain problems
• You have a knack for answering open questions with data
• You understand that simplicity is hard but key to achieving maintainability and to being able to continually deliver value to the business

Benefits

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.

Pay

The pay range is $118,000.00 - $211,000.00. 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.

Schedule

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.