2026 Summer Data Analyst/Scientist Intern- Master's (Santa Clara, CA)
Santa Clara, CA
Internship
Onsite
Intern
Applied Materials is a global leader in materials engineering solutions for the semiconductor and display industries. They are seeking a Summer Data Analyst/Scientist Intern who will focus on data engineering and business analytics to drive growth and efficiency through data insights and machine learning applications.
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
Qualification
Required
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
Master's Degree in Analytics, Engineering, Product Marketing, Product Management, Mathematics, Statistics, Computer Science, or related field
Preferred
Relevant experience in Semiconductor or Adjacent industries highly desirable
Industry Experience in Data Analytics environment is a plus
GPA 3.3 or above preferred
Benefits
A supportive work culture that encourages you to learn, develop, and grow your career
Programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go
A comprehensive benefits package
Candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
