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

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 Frontend: HTML, CSS, JavaScript (React/Angular/Vue) Data Engineering & Modeling: Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn) Database: SQL Master's Degree in Analytics, Engineering, Product Marketing, Product Management, Mathematics, Statistics, Computer Science, or related field Relevant experience in Semiconductor or Adjacent industries highly desirable Industry Experience in Data Analytics environment is a plus GPA 3.3 or above preferred