Heading
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.
Apply NowResponsibilities
- 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