Equipment Intelligence Specialist - 林口/銅鑼/后里/安南 (濕蝕刻 Clean、蝕刻 Etch、薄膜沉積 Thin Film)

Role Summary:
The Equipment Intelligence Specialist will support Productivity and Fab Management programs by applying Lam Equipment Intelligence software applications and developing new analytics methodologies, dashboards, and notebooks to address business needs. This role serves as a Productivity Data Science Specialist for Lam Deposition, Etch, Wet, and Clean product lines within strategic customer accounts, with a focus on enabling customer capacity ramp, productivity improvement, installed-base performance, and Lam business performance.

Key Responsibilities:
1. Equipment Intelligence & Data Science:

• Build proficiency in Lam Equipment Intelligence capabilities, including EI-DA, EI-App, Jupyter Notebook for Python development, and JMP analytics.
• Use Lam Equipment Intelligence software and analytics workflows to evaluate site installed-base performance, support Lam commitments, and strengthen customer confidence.
• Develop and maintain robust, well-documented, version-controlled Python code, notebooks, and applications that parse, transform, and format large datasets for analysis.
• Create analytics methodologies, dashboards, and automated reporting solutions that support productivity improvement, capacity ramp, and fab management objectives.

2. Global Product & Notebook Deployment:

• Collaborate with Global Product Equipment Intelligence experts to support the deployment, creation, validation, and analysis of Lam product notebooks.
• Translate product and site learnings into reusable analytical workflows that can be applied across regions, product groups, and customer environments.
• Provide structured insights and recommendations that help global teams identify performance gaps, improvement opportunities, and scalable solutions.

3. Customer, Account Team & Cross-Functional Collaboration:

• Partner closely with Account Teams, Global Product Support, CSBG, site teams, and customers to meet aligned productivity and business targets.
• Provide timely, data-driven solutions for productivity challenges, issue investigation, and performance optimization.
• Support site and global leads in achieving goals, objectives, and customer commitments through clear communication, disciplined execution, and measurable outcomes.
• Promote worldwide knowledge exchange by learning, documenting, and sharing new methodologies, best practices, and analytical approaches.

4. Fab Management & Continuous Improvement:

• Adapt analytics and support models as customer targets, fab priorities, and performance expectations evolve.
• Identify opportunities to improve tool productivity, capacity utilization, installed-base performance, and fab management effectiveness.
• Contribute to operational reviews by delivering concise insights, trend analysis, and recommendations for follow-up action.