Supply Chain Service Data Scientist

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

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

• Experience in conducting statistical analysis

• Experience with Power BI / DAX

• Experience with Snowflake (or similar Business Intelligence tools)

• Manufacturing, Supply Chain, Military 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

• Proven success at developing and applying multivariate regression / machine learning models

• Strong data wrangling skills to extract and shape data into a usable format for analysis

• Experience with writing SQL is a must, as well as experience in any other scripting languages such as Python, R, etc.

• Ability to quickly learn new/different languages/technologies/etc

• Communicate technical information to management and non-technical business partners

• Collaborate with team members to share knowledge and interconnect solutions

Base Pay Range: $88,900.00 - $151,100.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: 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, and family care and bonding leave.

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 [email protected] 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 websitefor 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 [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.