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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Palantir Developer - **Company:** KLA Corporation - **Location:** Ann Arbor, MI, United States - **Salary:** $110,000.0 - $187,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Information Systems, Data Validation, Information Engineering, Data Governance, Database Queries, Machine Learning, Software Repository, Information Technology, Data Analytics, Data Pipelines - **Published:** August 6, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17835345?backUrl=%2Fcareer%2F17835345%2FData-Scientist-Palantir-Developer-Michigan-Ann-Arbor ## About the Role 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., * 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. ## Description 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)