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 used to produce new chips and advanced displays. They are seeking a 2026 Summer Data Analyst/Scientist Intern to leverage data engineering and analytics in driving growth and efficiency within the company.
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
Master's Degree in Analytics, Engineering, Product Marketing, Product Management, Mathematics, Statistics, Computer Science, or related field
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
Technical Skills: Frontend: HTML, CSS, JavaScript (React/Angular/Vue), Data Engineering & Modeling: Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), Database: SQL
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
Comprehensive benefits package
Participation in a bonus and a stock award program
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
