Sr Data Scientist - Global Supply Chain and Logistics
Core
Develop and manage state-of-the-art predictive and prescriptive algorithms using operations research, simulation, and machine learning to automate and optimize end-to-end supply chain business decisions for Target.
Role type
Senior IC data scientist (supply chain optimization)
Builds
Production algorithms for inventory, transportation, sourcing, distribution, and fulfillment optimization
Domain
Retail supply chain and logistics
Deliverable
production ML models
Required skills
supply chain optimization, operations research, simulation, machine learning, mixed-integer programming, stochastic dynamic programming, reinforcement learning, Python, R, Kotlin, Java, SQL/Hive, statistical modeling, application architecture
Preferred skills
deep learning, time series forecasting, clustering, PCA, regression
Technologies
Python, R, Kotlin, Java, SQL, Hive
Responsibilities
Review and iterate on optimization and machine learning algorithms; collaborate with engineers to design and deploy algorithms in production; work with business partners to learn retail processes; ideate and resolve tradeoffs between model granularity and performance
Seniority
Senior, hands-on IC
