Data Scientist (Entry Level) - GSCS

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

We are seeking an early-career Data Scientist to join our Digital Solutions & Analytics team, building data-driven solutions on KLA's Global Supply Chain Services (GSCS) Foundry instance. You'll learn to design pipelines, model real-world entities in the Ontology, and build operational applications that teams use to make decisions daily. With mentorship from senior FDEs, you'll grow into a fully internally developed engineer.

This is an opportunity to accelerate your development in a team that prioritizes technical excellence, mentorship, and continuous learning.

What You'll Do:

Build and maintain data pipelines that integrate, clean, and transform supply chain data

Design Ontology models that represent real-world operations (parts, shipments, suppliers)

Create applications and workflows for business users

Support AI-powered workflows (summarization, recommendations, automation) using AIP

Partner with business teams to translate operational problems into platform solutions

Progress through structured FDE development milestones

What You'll Bring

Proficiency in Python and SQL

Comfort with data modeling and working with structured datasets

Strong problem-solving skills and intellectual curiosity, with the ability to take ambiguous problems and translate them into structured analytical approaches

Ability to communicate technical concepts and insights clearly

Eagerness to learn, take feedback, and grow in a team-oriented environment

Bonus

Experience with data pipelines, ETL, or version control (GIT)

Exposure to manufacturing, supply chain, or operations domains

Interest in AI/ML and applying it to enterprise workflows

Palantir Foundry exposure

Minimum Qualifications

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Data Analytics, or a related quantitative field and 0 years related work experience

Base Pay Range: $67,400.00 - $114,600.00 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.

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.