Data Science Intern

Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. 

What We Offer

Location:

Santa Clara,CA

At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. 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. 

You’ll also 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 about careers at Applied.

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:

Applied Materials’ GIS Department is searching for an intern to join our team in Summer 2025! 

Key Responsibilities Include:

• Supports ad-hoc statistical and data mining analysis, using statistical tools like R, Python, Unix. 
• Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis
• Supports project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.
• Supports the design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources
• Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics
• Proactively validate/correlate results with real world data to improve models
• Present complex in-depth technical material in a concise manner

MINIMUM REQUIREMENTS

• Student must be pursuing a master's or bachelor’s degree program in a Information Systems, Data Science, Computer Science, or a related field and returning to their studies upon completion of internship
• Student must be available to start May/June and end their 12 weeks ~Aug/Sept
• Experience or working knowledge with statistical tools like R, Python, Unix
• Clear problem solving capabilities and ability to work within standardized procedures and practices to achieve objectives and meet deadlines
• Demonstrated ability to work effectively in multi-disciplinary teams of experimentalists, modelers, and/or computing infrastructure enablement teams

Additional Information

Time Type:

Full time

Employee Type:

Intern / Student

Travel:

No

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-