KLA 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. The 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/Division The 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. The 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 Qualifications From the data solution perspective, we are looking for a solution to analyze reliability impact with automation and at scale. There will be constraints to the data characterization, like limited data available. Ultimately, we are trying to improve the actuarial function into existing infrastructure, and enhance current forecasting technology. Here are several requirements for the position. Leverage current data capability that was developed in-house, and devise a data solution to characterize the tail which compromises very limited information of reliability data. Solution can be used at scale to provide quick assessment for users Translate appropriately to characterize the problem with an actuarial perspective. Recommend infrastructure change needed to further improve the solution’s accuracy. By the end of the internship, be able to present the finding and offer proposals to the company on next steps.