Staff Data Scientist, Global Operations Intelligence, SMAI
Core
Develop mathematical optimization models, simulation, and AI/ML solutions to optimize semiconductor factory capacity, throughput, and operational efficiency.
Role type
Staff Data Scientist (Operations Research & Optimization)
Builds
Optimization engines, predictive analytics models, and decision-support tools for factory capacity planning.
Domain
Semiconductor manufacturing / Operations Research
Deliverable
production ML models
Required skills
Mathematical optimization (LP, MILP, stochastic), simulation (discrete-event), Python, Gurobi/CPLEX/OR-Tools, data analysis, algorithm design
Preferred skills
PhD in OR/IE, semiconductor manufacturing domain expertise, digital twin development, cloud deployment
Technologies
Python, SQL, R, Spark, Gurobi, CPLEX, OR-Tools, Pyomo, PuLP, Power BI, Tableau
Responsibilities
Develop optimization models for capacity planning and bottleneck management; build predictive models for demand forecasting and anomaly detection; partner with manufacturing teams to analyze constraints and recommend improvements; deploy scalable analytical models into production systems.
Seniority
Staff, hands-on IC with strategic impact