Data Scientist Palantir Developer

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/DivisionKLA has manufacturing sites worldwide. The Global Operations (GOPS) team, comprised of Manufacturing, Supply Chain Management, Manufacturing Engineering, Installation and Quality, builds our leading-edge technology. GOPS partners with KLA's global supply base and design engineering teams to develop new products, working continuously to build better, faster and more cost-efficient solutions. What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. 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. About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics