Equipment Intelligence Specialist 4
Core
Develop analytics methodologies, dashboards, and notebooks to improve tool productivity, capacity utilization, and fab performance for semiconductor equipment.
Role type
Productivity Data Science Specialist (Equipment Intelligence)
Builds
Data-driven insights, dashboards, and automated reporting systems for Lam Deposition, Etch, Wet, and Clean product lines.
Domain
Semiconductor manufacturing / Semiconductor equipment analytics
Deliverable
production ML models
Required skills
Python development, Jupyter Notebook, JMP, multi-dimensional data analysis, version control, analytical modeling
Preferred skills
Statistical Process Control (SPC), Design of Experiments (DOE), semiconductor fab operations knowledge
Technologies
Python, Jupyter Notebook, JMP, Lam Equipment Intelligence platforms (EI-DA, EI-App)
Responsibilities
Develop and apply expertise in Lam Equipment Intelligence platforms to deliver data-driven insights; Design, develop and maintain scalable analytical solutions; Transform large datasets into actionable intelligence; Partner with Global Product Equipment Intelligence teams and customers to deploy solutions; Translate site learnings into standardized, reusable workflows; Contribute to operational reviews with executive-level analyses.
Seniority
Senior, hands-on IC