2026 Summer Data Analyst/Scientist Intern- Master's (Santa Clara, CA)

Applied Materials•Santa Clara, CA

1d•Onsite

About The Position

Who We Are Applied Materials is a 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 push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. 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. TEAM OVERVIEW: The strategic initiatives team is part of the Applied Global Services organization. Our team focuses on data engineering, business analytics and synthesis of complex data to drive revenue and share growth in key business functions. We leverage AI, ML tools, to help identify opportunities to drive growth and efficiency.

Requirements

Master's Degree in Analytics, Engineering, Product Marketing, Product Management, Mathematics, Statistics, Computer Science, or related field
Frontend: HTML, CSS, JavaScript (React/Angular/Vue)
Data Engineering & Modeling: Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Database: SQL

Nice To Haves

Relevant experience in Semiconductor or Adjacent industries highly desirable
Industry Experience in Data Analytics environment is a plus
GPA 3.3 or above preferred

Responsibilities

Knowledge and experience in product life cycle analysis, product change notification, order management, planning, supply chain management
Familiar with the parts used on semiconductor equipment, understand the basic functions of the parts
Strong engineering mindset, be able to interpret the data collected by engineering team
Good understanding of Applied Global Service products of Spares and Service
Knowledge of SAP or any ERP or PLM tools
Apply data analytics to service agreements, parts replacement, and spares to identify trends and guide strategy development
Ability to perform data analysis and modelling using Python/SQL/Excel and Tableau considered
Ability to conduct frontend development such as HTML, CSS, JavaScript (and frameworks like React, Angular, or Vue)
Ability to create responsive design and UI/UX principles
Ability to integrate data analytics reports into web-based platforms
Develop and implement machine learning models for predictive maintenance, demand forecasting, and anomaly detection.
Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and model deployment best practices
Ability to exercise judgment based on the analysis of multiple sources of information
Ability to provide strategic recommendations based on statistical and data analysis
Demonstratable problem solving skills and presenting effectively to a variety of stakeholders
Establish trust-based relationships and work effectively with diverse teams
Track and monitor competitor activity and centralize the intelligence information for business decision making
Identify new Market opportunities, define market share penetration and retention strategies with sales and FSO teams