Supply Chain Data Science Intern

Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. u00a0The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/DivisionThe KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. u00a0The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.Job Description/Preferred QualificationsJoin KLA's Service Supply Chain team as a Summer Intern in Machine Learning Our service supply chain supports a wide range of spare parts-from basic hardware to highly sophisticated optics, lasers, and precision mechanical devices. To ensure optimal delivery performance, we leverage advanced analytics and machine learning to predict demand and improve planning processes.As an intern, you will:Build a graph representation of KLA's spare parts demand network to enable predictive modeling and other advanced analytics.Develop and implement machine learning models (e.g., using PyTorch) to forecast monthly spare parts demand.Explore and apply graph-based approaches for network representation and prediction.Work with large datasets to uncover patterns and insights that traditional analytics cannot easily reveal.Collaborate with the supply chain and planning teams to integrate findings into actionable strategies.Utilize Linux command line tools and scripting for data processing and workflow automation.This internship offers hands-on experience applying cutting-edge machine learning techniques to real-world supply chain challenges.Minimum QualificationsPreferred QualificationsStrong proficiency in Python programming.Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras).Familiarity with graph theory and its applications in machine learning is a fort with Linux command line and basic scripting.Solid understanding of probability, statistics, and data analysis and visualization.Ability to communicate technical concepts clearly to both technical and non-technical audiences.Minimum QualificationsEnrollment in a graduate program (Master's or Ph.D.) in a relevant field.Demonstrated experience in developing and applying machine learning models.Strong data wrangling and preprocessing skills (e.g., data cleaning and quality control).Ability to learn new tools and technologies quickly.Collaborative mindset and willingness to work in a

Created: 2026-03-09