PCE ENGINEER
Core
Coordinate lab analysis with data science and statistical modeling to transform material characterization data into actionable quality insights for supplier quality process improvements.
Role type
PCE Engineer (Data Science & Materials Analysis)
Builds
Supplier quality process improvements and system control strategies
Domain
Semiconductor manufacturing / Materials science / Quality engineering
Deliverable
production ML models | dashboards & analysis
Required skills
Data science, statistical modeling, materials characterization data analysis, experimental data interpretation, AI-based tool application, cross-departmental strategy alignment
Preferred skills
Python, R, SQL, JMP, AI modeling for manufacturing monitoring
Technologies
JMP, Python, R, SQL
Responsibilities
Combine laboratory analysis with data science to convert material data into quality insights; Enable timely spotting of inconsistencies through data evaluation; Coordinate system control strategies with multiple departments; Use AI-assisted tools to improve efficiency and quality; Identify and share AI-enabled improvements within scope
Seniority
Mid-level, hands-on IC
