Principal Data Scientist
Core
Lead the development and deployment of advanced analytical solutions to drive business innovation and operational excellence in semiconductor manufacturing.
Role type
Principal Data Scientist (Manufacturing Analytics)
Builds
Predictive and prescriptive models for yield, process variability, and equipment behavior in FAB and factory operations.
Domain
Semiconductor manufacturing / Photonics / Industrial Statistics
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced statistical modeling, Experimental Design (DOE), Time-series analysis, Anomaly detection, Causal reasoning, Python, SQL, Manufacturing process knowledge, Technical leadership, Executive communication
Preferred skills
Experience in photonics or optical-component manufacturing, Knowledge of MES/SPC/FDC systems, Mentorship capabilities
Technologies
Python, SQL, DOE, SPC, Regression, Multivariate analysis
Responsibilities
Lead the data-science agenda for FAB and factory operations; Analyze processes including yield, throughput, and quality metrics; Develop statistical and predictive models for manufacturing data; Design and evaluate experiments to understand process drivers; Establish trusted analytical definitions and data structures; Productionize datasets and models with data engineering teams; Mentor data scientists and engineers in statistical thinking; Act as a trusted technical advisor to manufacturing and operations leadership.
Seniority
Principal, strategy & mentorship
