Supply Chain Service Data Scientist

KLATencor Corporation • Ann Arbor, MI • 23h ago

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. 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/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. 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 Job Description

Continuous optimization of our spares delivery performance: Our service supply chain supports a wide range of spare parts; from nuts and bolts to highly sophisticated optics/lasers/high precision mechanical devices/etc. While our enterprise planning system optimizes inventory investment to support customer demand, our service supply chain organization must tune the optimization parameters and planning processes to meet customer needs at the right investment. Our Business Intelligence team seeks data driven approaches to help the organization strike the optimal balance with systems and process config. Below is what you will be doing to drive improvements to our parts forecasting processes:

Perform analysis on our spares delivery performance, whether at individual transaction level or at aggregate fleet wide performance

Establish root cause analysis to uncover key drivers for performance impact

This will include the development and use of machine learning / regression models to uncover drivers of performance that cannot otherwise be found using traditional analytics approaches

Report the findings to our planning organization and to our senior management enabling them to drive corrective actions as needed

Perform analysis to evaluate various inventory optimization approaches in our systems and processes

This will include developing and/or leveraging various simulation techniques to perform what-if analysis

Collaborate with the planning organization to help refine the planning system configuration and planning processes based on simulation findings

Assist in spare parts forecasting analytics

This will include building scalable solutions to identify part failure rates across various products/customer/regions

Preferred Qualifications:

Background in statistics and probability theory

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