Data Scientist - Global Supply Chain Services

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.

Job Description/Preferred Qualifications

Job Description/Preferred Qualifications

We are seeking a highly motivated and experienced Data Scientist to join our multifaceted Business Operations and Digital Solutions team, supporting KLA Supply Chain Services. This senior level role will be instrumental in driving digital transformation through advanced analytics, statistical modeling, and AI innovation. The ideal candidate will lead the development of scalable data science solutions that optimize logistics and other supply chain operations and enable data-driven decision making.

Responsibilities:

• Lead the design and deployment of statistical analysis, machine learning models, and optimization algorithms to address logistics challenges.

• Architect and sale AI-driven solutions across our logistics network, ensuring alignment with business goals and operational efficiency.

• Collaborate cross functionally with logistics support groups, business analysts, and data experts to identify opportunities and deliver impactful digital solutions.

• Develop and apply statistical methods and mathematical modeling to uncover insights and support strategic initiatives.

• Guide the team in best practices for data science development, including feature engineering, model validation, and performance monitoring.

• Champion the use of modern data science tools and platforms.

• Contribute to the development of network/graph analytics initiatives by applying graph theory and network modeling to uncover relationship and patterns in logistics data.

• Demonstrate strong leadership, communication, and collaboration skills, with the ability to influence cross-functional teams.

• Foster a culture of innovation and continuous learning by promoting knowledge sharing and mentoring others.

• Stay current with industry trends in AI, machine learning, and logistics analytics while evaluating emerging technology for adoption.

Minimum Qualifications

• Strong proficiency in Python and SQL

• Experience with data engineering and transformation to structure complex data sets for modeling and analysis

• Solid understanding of statistical inference, time series analysis, and optimization techniques

Preferred Qualifications

• Experience working with logistics operations and supply chain

• Experience with network/graph analytics

• Familiarity with SAP, Snowflake, and Power BI

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

Base Pay Range: $133,300.00 - $226,600.00 Annually

Primary Location: USA-CA-Milpitas-KLA

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