Manager, Data Science, SMAI
Core
Lead global analytics and data science teams to optimize semiconductor manufacturing yield and drive continuous improvement through advanced data analysis and modeling.
Role type
Senior Manager, Data Science & Analytics
Builds
Yield improvement strategies, automated data pipelines, and defect reduction models for semiconductor fabrication
Domain
Semiconductor manufacturing / Data Science
Deliverable
production ML models | dashboards & analysis
Required skills
Team leadership, statistical modeling, Python programming, SQL, data visualization, cross-functional stakeholder management, semiconductor fabrication process knowledge
Preferred skills
Memory architecture (NAND) expertise, AI-driven engineering acceleration experience, Code Gen tools proficiency
Technologies
GCP Suite, Snowflake, Dash, Plotly, Streamlit, Angular, Github, JIRA
Responsibilities
Recruit and mentor global engineering and analytics teams; analyze inline/param/probe data to identify yield detractors; extract and cleanse datasets from sensor networks and tool logs; apply statistical modeling and ML to troubleshoot yield issues; support Design of Experiments (DOE); develop automated reports and dashboards for engineering stakeholders; manage multi-stream delivery portfolio and partner with Yield, LPD, Cost, and Planning leaders
Seniority
Senior, hands-on IC with leadership responsibilities
