Data Scientist - Palantir Developer
KLA Corporation
- Location
- Milpitas, CA
- Work model
- On-Site
- Level
- Mid
- Salary
- $110k – $187k/yr
- H-1B history
- 85 approvals (FY2023)
- Posted
- 14h ago
Skills
About this role
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 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. Base Pay Range: $110,000.00 - $187,000.00 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: