Lead Data Scientist, Operations Research
Core
Leads optimization, forecasting, and decision modeling for Sensata's operations, specifically Supply Chain, Procurement, and Engineering, turning complex problems into production models.
Role type
Lead Data Scientist (Operations Research)
Builds
Production optimization and forecasting models for inventory, planning, scheduling, and cost analysis.
Domain
Manufacturing / Automotive / Industrial Supply Chain
Deliverable
production ML models
Required skills
Operations Research, Linear and Mixed-Integer Programming, Constrained Optimization, Inventory Theory, Scheduling and Simulation, Optimization Solvers (Gurobi, CPLEX, OR-Tools, Pyomo), Time-series Forecasting, Python, SQL
Preferred skills
Manufacturing/Automotive/Industrial Supply Chain domain experience, Master's or PhD in Operations Research/Industrial Engineering/Statistics/Applied Mathematics
Technologies
Gurobi, CPLEX, OR-Tools, Pyomo, Python, SQL, ERP, EDI
Responsibilities
Build optimization models for inventory policy, multi-echelon safety stock, item segmentation, capacity and production planning, and lab/test scheduling; Build demand forecasting and signal-reliability models for noisy customer and EDI demand; Develop should-cost and spend analytics to support Procurement decisions; Design empirical tests to evaluate vendor and planning-platform models; Set standards for modeling, validation and backtesting; Work directly with planners, buyers and business leaders to ensure model adoption; Give technical direction and mentoring to data scientists and AI engineers.
Seniority
Lead, hands-on IC with mentoring responsibilities
