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Ann Arbor, Michigan, United States
Onsite
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 a highly motivated Data Analyst / Data Scientist with hands-on experience developing solutions in Palantir Foundry. This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering.
The successful candidate will work directly with business stakeholders to understand operational challenges, gather requirements, translate business processes into Foundry solutions, and develop scalable analytics, applications, and AI-enabled workflows. This individual must be comfortable working independently, driving discussions with business partners, and delivering solutions from concept to deployment.
Partner directly with business stakeholders to gather, document, and refine business requirements.
Translate business processes and operational needs into scalable Palantir Foundry solutions.
Design and develop Foundry-native applications using Workshop, enabling business users to interact with data, workflows, and operational processes.
Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications, and operational workflows.
Build analytical models, dashboards, and data products that enable business decision-making.
Support AI and machine learning use cases within the Foundry ecosystem.
Collaborate with cross-functional teams including business users, IT, data engineers, and other Foundry developers.
Perform data validation, troubleshooting, testing, and root cause analysis.
Drive projects independently while effectively managing stakeholder expectations and timelines.
Create and maintain technical and functional documentation.
Promote best practices for data governance, solution design, and Foundry development.
Minimum Qualifications
Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.
2+ years of hands-on Palantir Foundry development experience.
Maximum 5 years of total professional experience in Data Analytics, Data Science, Data Engineering, or related fields.
Experience building data pipelines, transformations, and operational applications in Foundry.
Strong SQL skills and experience working with large datasets.
Experience using Python for data analysis, automation, or machine learning.
Strong understanding of data modeling and business process transformation.
Demonstrated ability to work independently with business stakeholders.
Excellent communication, facilitation, and requirements gathering skills.
Ability to convert ambiguous business problems into technical 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.
