Manager, Data Science, SMAI
Core
Lead global analytics and data science teams to optimize semiconductor manufacturing yield, troubleshoot defects, and drive process improvements using advanced analytics and machine learning.
Role type
Senior Manager, Data Science (Semiconductor Manufacturing)
Builds
Automated data pipelines, yield optimization models, and visualization dashboards for semiconductor fabrication operations.
Domain
Semiconductor manufacturing / Yield management
Deliverable
production ML models
Required skills
Team leadership and talent development, Statistical modeling (SPC, DOE, FDC/EDA), Python programming, SQL, Cloud platforms (GCP, Snowflake), Data visualization (Dash, Plotly), Cross-functional stakeholder management
Preferred skills
Code generation tools (GitHub Copilot, Roo Code), AI-driven engineering acceleration, Memory architecture (NAND) knowledge, Multi-stream program delivery
Technologies
Python, SQL, GCP, Snowflake, Dash, Plotly, Streamlit, 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 fabrication logs, Apply statistical modeling and ML to troubleshoot yield issues, Develop automated reports and dashboards for engineering stakeholders, Manage multi-stream delivery portfolio with cross-functional partners
Seniority
Senior, hands-on IC with management responsibilities