Data Scientist 2

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.

• Bachelor's degree + 2years experience or Master's degree in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
• Strong foundation indata analysis, statistical modeling, and machine learning, with the ability to apply these methods to realworld engineering problems.
• Handson experience programming inPython (required), including common data science libraries (e.g., NumPy, pandas, SciPy, scikitlearn, PyTorch, TensorFlow, or similar).
• Experience working withlarge, noisy, and heterogeneous datasets, including data cleaning, feature extraction, and validation.
• Ability to translate ambiguous problem statements into welldefined analytical approaches and actionable insights.
• Strong communication skills, with the ability to explain technical results clearly to audiences with varied levels of technical expertise.

• Experience applying data science techniques incomplex industrial environments.
• Familiarity with equipmenthealth monitoring, fault detection and classification (FDC), predictive maintenance, or timeseries analysis.
• Experience developinganalytics tools or applications with userfriendly interfaces (e.g., dashboards, internal web apps, or visualization tools) for nonprogrammers.
• Knowledge ofSQL, data pipelines, or working with structured and unstructured production data sources.
• Experience withcloudbased or distributed computing environments is a plus.
• Understanding of experimental design, rootcause analysis, or process characterization in a hardwaredriven environment.
• Ability to balance quickturn analysis for escalations with longerterm, robust algorithm development

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.

#LI-JK1