Supply Chain Service Data Scientist
About The Position
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 Support the 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 forecasts customer demand at large scale, our service Business Intelligence group is looking for a candidate that can help refine our customer forecasting for the optimal customer experience at the right investment. Below is what you will be doing to drive improvements to our parts forecasting processes:
Requirements
- Manufacturing, Supply Chain, or related industry experience
- Bachelor’s degree with +5 years’ work experience, OR Master’s degree with +3 years’ work experience
- Educational background in Data Science, Data Analytics, IT or related field
- Strong data wrangling skills to extract and craft complex data into a usable format
- Strong skills with SQL, Python and/or R
- Experience with statistical / regression / ML modeling
- Communicate technical information to management and non-technical business partners
- Ability to collaborate closely with team members and cross functional domain experts to share knowledge and interconnect solutions
Responsibilities
- Become a subject matter expert on our customer demand data environment: Understand the complexities and context around customer spare parts demand, situational factors such as customer contract entitlements, demand priority, product type, etc. Understand the associations of various parts and the respective products they belong to, which facilitates a mapping of where every unit in operation
- Identify problematic data records and anomalies that need to be resolved with data systems teams
- Build customer demand rate models to identify any variability across the fleet
- Identify any statically meaningful demand rate variation across customers, product types, customer entitlements, etc (and any combination thereof)
- Build bottoms up part forecasts across the fleet as a function of these customer demand rate models
- Work with demand frequency and volatility segmentation techniques to establish risk profiles for parts with unpredictable pattern
- Collaborate with other data scientists to input all the above data elements into various machine learning models designed to predict and optimize our customer experience
Benefits
- medical, dental, vision, life, and other voluntary benefits
- 401(K) including company matching
- employee stock purchase program (ESPP)
- student debt assistance
- tuition reimbursement program
- development and career growth opportunities and programs
- financial planning benefits
- wellness benefits including an employee assistance program (EAP)
- paid time off and paid company holidays
- family care and bonding leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
