Staff Data Scientist, Global Operations Intelligence, SMAI
Core
Build mathematical optimization models and AI/ML solutions to optimize semiconductor factory capacity, throughput, and operational efficiency.
Role type
Staff Data Scientist (Operations Research & Optimization)
Builds
Production optimization engines, predictive analytics models, and decision-support dashboards for factory capacity planning.
Domain
Semiconductor manufacturing (wafer fab, assembly/test) and industrial operations
Deliverable
production ML models | production features | dashboards & analysis
Required skills
Mathematical optimization (LP, MILP, stochastic), simulation (discrete-event), Python, Gurobi/CPLEX/OR-Tools, data analysis, algorithm design
Preferred skills
PhD in Operations Research/Industrial Engineering, semiconductor domain expertise (WIP, tool groups, yield), digital twin development, cloud deployment
Technologies
Python, SQL, R, Spark, Git, Gurobi, CPLEX, OR-Tools, Pyomo, PuLP, Power BI, Tableau, Plotly, Dash
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 process flows and constraints; translate analytical findings into actionable business recommendations.
Seniority
Staff, hands-on IC with strategic influence
