Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)
Core
Develop cutting-edge solutions using operations research, machine learning, and simulation to optimize Target's global supply chain from sourcing to last-mile delivery.
Role type
Senior Operations Research Scientist (Supply Chain Optimization)
Builds
Efficient, reliable, and best-in-class supply chain strategies and models for Target's global operations.
Domain
Retail Supply Chain & Logistics
Deliverable
production ML models
Required skills
Operations Research (OR), Machine Learning, Discrete Event Simulation (DES), Linear Programming, Stochastic Processes, Python, R, SQL, PySpark, Probability Theory, Statistics, Data Mining
Preferred skills
Industrial Engineering, Applied Mathematics, Physics background, Hadoop ecosystem experience, Multi-Echelon Inventory planning, Last-Mile optimization
Technologies
Python, R, PySpark, Hadoop, SQL
Responsibilities
Analyze large granular supply chain data to evaluate performance and optimization opportunities; Perform root cause analysis on operational performance variance; Utilize OR methodologies to solve complex business problems; Collaborate with cross-functional teams to gather inputs and understand business processes; Interpret model results and provide insights to leadership; Develop data-driven inferences to influence senior leadership decision-making.
Seniority
Senior, hands-on IC
