Data Scientist 3

In the Global Products Group, we are dedicated to excellence in the design and engineering ofLam's etch and deposition products. We drive innovation to ensure our cutting-edge solutionsare helping to solve the biggest challenges in the semiconductor industry.

Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.

This opportunity is for a Data Scientist in the Systems Engineering Group in Global Product Engineering. The position is located in Fremont, CA. Our team supports products currently in the market as well as develops new products actively being brought to market.

You will assist in analyzing data and building data analytics algorithms for Lam's Etch, Deposition, and Clean semiconductor equipment. An example:

1. The team is troubleshooting a a customer escalation. With help from a subject matter expert, you need to understand the problem, investigate what data is available, analyze the data, interpret the results, and share with the team.
2. A likely follow up will be that you build an analytics app with an easy-to-use GUI, so engineers without coding experience can troubleshoot this issue quickly in the future.
3. Another likely follow up will be that you create an algortihm to predict the failure in the future

• Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
• Expert in python. (Note: AI tools are available to assist you with coding.)
• Drives to understand the underlying equipment and how its hardware operates to be able to interprete the the data from the equipment better .
• Thrives in cross-functional teams.
• Handles multiple tasks and priorities with attention to detail.
• Preference for experience with ETL pipelines.
• Preference for experience with semiconductorfabrication equipment.
• Preference for camera experience and image processing experience.

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.