Target Data Sciences - Supply Chain Optimization 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.
Requirements
- You have a strong knowledge of supply chain optimization – inventory, transportation, sourcing, distribution, fulfillment and planning
- 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
- 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
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, deploy and productionize models at scale. Our models run many times a day for millions of combinations of stock keeping units and distribution networks
- 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
- design analytical solutions to extract insights and to prescribe best courses of action
- develop and manage state of the art predictive and prescriptive algorithms that use data to automate and optimize decisions at scale
Other
- Work with business partners to learn about the retail business and processes in play
- 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
- 5+ years of experience leading large-scale implementations of supply chain optimization, simulation and machine learning modeling at scale
