Supply Chain Service Data Scientist
Kla
Data Science, Operations
Ann Arbor, MI, USA
USD 88,900-151,100 / year + Equity
Posted on Sep 17, 2025
Company Overview
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
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:
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
Preferred Qualifications:
Manufacturing, Supply Chain, or related industry experience
Minimum Qualifications
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
Ability to quickly learn new/different languages/technologies/etc
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
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.