The group you’ll be a part of

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

The impact you’ll make

Directs the activities of a data science team responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for businesses across the company. Oversees the development of software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources. Identifies and communicates to stakeholders, meaningful, actionable insights from large data and metadata sources. Selects, develops, and evaluates personnel ensuring the effective operation of the function.

What you’ll do

Who we’re looking for

- Bachelor degree or equivalent is required with 4-6 years of supervisory experience.

Preferred qualifications

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.

📌 Group Manager, Data Science (Bengaluru)
🏢 Lam Research
📍 Bengaluru