Equipment Intelligence Data Scientist

Lam Research; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Lam Research Singapore is seeking an Equipment Intelligence Specialist to advance productivity and fab management with data-driven insights. You will apply EI software, develop analytics methodologies, dashboards, and notebooks across Lam's deposition, etch, wet, and clean lines within strategic accounts.

Responsibilities include building scalable Python-based analytics, collaborating with global teams, and translating complex data into executive-ready recommendations that improve tool

Qualifications

• PhD or MSc with required years of experience; or BSc with 6+ years experience.
• Proficiency in Python, Jupyter, and JMP; experience with version-control practices.
• Strong analytical capability with multi-dimensional data analysis and cross-functional collaboration.

Responsibilities

• Develop and apply expertise in Lam EI platforms (EI-DA, EI-App) and Python notebooks for insights.
• Evaluate installed-base performance using analytics to support commitments.
• Design, develop and maintain scalable, well-documented analytical solutions and dashboards.
• Transform large datasets into actionable intelligence for productivity improvement.
• Collaborate with Global Product Equipment Intelligence teams, Account Teams, and customers to deploy solutions.
• Translate learnings into reusable workflows for regional scaling.
• Drive continuous improvement with structured insights and data-driven recommendations.

Skills

Python development

Data analysis

Communication

Education

PhD in Electronics, Chemistry, Physics, Material Science, or related field

Master's degree with 3+ years of relevant work experience

Bachelor's degree with 6+ years of work experience

Tools

Jupyter Notebook

JMP

Version control (Git)

Job description

Lam Research Singapore is seeking an Equipment Intelligence Specialist to advance productivity and fab management with data-driven insights. You will apply EI software, develop analytics methodologies, dashboards, and notebooks across Lam's deposition, etch, wet, and clean lines within strategic accounts.

Responsibilities include building scalable Python-based analytics, collaborating with global teams, and translating complex data into executive-ready recommendations that improve tool