FSE-Data Analyst

The group you’ll be a part of

The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.

The impact you’ll make

As a Field Service Engineer at Lam, you will step into the limelight of customer support. Your work goes beyond installations and troubleshooting; it ensures the operational excellence of our complex semiconductor equipment. You're on the front lines, understanding customer needs and collaborating with various teams to deliver solutions with Big data Solution.

In this role, you will directly contribute to the productivity improvement activity for the critical process and equipment in the customers location.

About the Role

• We are seeking a highly motivated Data Analyst with a strong background in semiconductor process and equipment engineering.
• This role focuses on improving productivity and process quality through advanced data analysis and collaboration with internal and external stakeholders.
• Engage with customers to discuss and resolve productivity issues
• Analyze process equipment data using EI-DA solutions to find errors and enhance process quality
• Identify root causes through big data analysis and recommend corrective/preventive actions
• Collaborate with AT/PG teams to deliver fast solutions and improve yield and productivity
• Support successful deployment of P&D tools
• Stay up-to-date with new analytic models and solutions to enhance capabilities

Who we’re looking for

Minimum Qualifications:

• B.S. or M.S. in Electrical, Mechanical, Chemical Engineering, Physics, Chemistry, Mathematics, or Data Science
• Proven expertise in etching processes and/or equipment
• Solid understanding of statistics and machine learning
• Minimum 2+ years of experience in process and field equipment engineering
• Fluent in English (spoken and written)
• Strong problem-solving mindset and hands-on approach

Preferred qualifications

• Semiconductor process and equipment engineering for productivity improvement
• Big data analysis using statistical and machine learning tools (R and/or Python preferred)

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.