Sr Applied Data Scientist - Supply Chain Optimization
Core
Develop and manage predictive and prescriptive algorithms using operations research, simulation, and machine learning to automate and optimize end-to-end supply chain decisions for Target's retail operations.
Role type
Senior IC applied data scientist (supply chain optimization)
Builds
Production-scale optimization models and algorithms for inventory, transportation, sourcing, distribution, and fulfillment
Domain
Retail supply chain and logistics
Deliverable
production ML models
Required skills
supply chain optimization, operations research, mixed-integer programming, stochastic dynamic programming, reinforcement learning, Python, SQL/Hive, mathematical modeling, time series forecasting, clustering, PCA, regression
Preferred skills
deep learning, application/software architecture, data visualization
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 understand retail processes; ideate and resolve tradeoffs between model granularity and performance
Seniority
Senior, hands-on IC
