Senior Manager, Data Science, SMAI
Core
Lead global engineering and analytics teams to apply statistical methods, machine learning, and data engineering to solve complex semiconductor manufacturing challenges, improving process capability, device yield, and operational performance.
Role type
Senior Manager, Data Science (Semiconductor Manufacturing)
Builds
Scalable algorithms, automated data solutions, dashboards, and analytical tools for inline, parametric, and probe data.
Domain
Semiconductor manufacturing (NAND memory), Data Science, Advanced Analytics
Deliverable
production ML models
Required skills
Python, SQL, Statistical modeling, Machine learning, Data engineering, DOE (Design of Experiments), SPC, FDC, EDA, GCP, Snowflake
Preferred skills
Dash, Plotly, Angular, GitHub, JIRA, AI-assisted development tools, NAND memory architecture knowledge
Technologies
Python, SQL, GCP, Snowflake, Dash, Plotly, Angular, GitHub, JIRA
Responsibilities
Lead and develop global engineering and analytics teams; Partner with manufacturing teams to analyze data and drive yield optimization; Extract, cleanse, and integrate large datasets from fabrication equipment; Apply statistical and ML techniques to identify patterns and troubleshoot yield issues; Design and analyze Design of Experiments (DOE); Develop automated reports and dashboards for stakeholders; Manage multi-stream analytics and data engineering portfolios.
Seniority
Senior Manager, hands-on IC leadership