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Summer Data Scientist Intern - Master's; Santa Clara, CA)

Job in Santa Clara, Santa Clara County, California, 95054, USA
Listing for: Applied Materials
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer (Applied/Software), Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Summer 2027 Data Scientist Intern - Master's (Santa Clara, CA)
** Who We Are*
* Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry.

The work we do together advances the world's technology.

** What We Offer*
* Location:

Santa Clara,CA

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits () .

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale helps our customers - who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more - transform their ideas into reality. Our innovations Make Possible® a Better Future.

Inside our company, we apply the idea of make possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow.

** TEAM OVERVIEW*
* Join our dynamic Supply Chain Analytics team as a Data Scientist Intern! Our mission is to revolutionize efficiency by harnessing the power of machine learning, statistical and simulation modeling, generative AI, and actionable insights.

We are dedicated to transforming process efficiency through deep analysis, cutting-edge visualization, and enhanced UI/UX. Our goal is to elevate decision support systems and measurement capabilities, driving substantial improvements in key business metrics. Be a part of our journey to make a significant impact!

** HOW WE WORK*
* AI has changed how fast a data scientist can move. It has not changed what makes one good.

We look for people who use AI tools aggressively to move faster, and who can still explain every line they ship, defend the assumptions behind a model, and recognize an answer that is fluent but wrong. Strong fundamentals first, AI as a multiplier.

** KEY RESPONSIBILITIES*
* + Learn the business: how our supply chain operations run, what the underlying data represents, and where decisions get made.

+ Perform exploratory data analysis to identify trends, opportunities, and actionable insights.

+ Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.

+ Develop statistical and machine learning models to support supply chain decision-making.

+ Contribute to GenAI and LLM initiatives, including AI-powered search, automation, and business applications, building reusable components where the work can scale.

+ Design and enhance dashboards and reports using Tableau and/or Power BI.

+ Partner with stakeholders to understand business challenges, gather requirements, and identify opportunities for improvement.

+…
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