Quick overview
Job description
Job Position: Palantir Data Scientist
Job Location: Raymond, OH (onsite)
Job Description:
We are looking for a Data Scientist who can turn business problems into data-driven solutions within Palantir Foundry.
This is not a basic data-integration or data-lineage role. The person must be able to understand a business question, identify the required data, develop the mathematical/statistical logic or machine-learning approach, create derived datasets, and implement the solution in Palantir for use in operational applications and reporting.
Key responsibilities:
• Work with business users to translate needs into measurable data definitions, calculations, models, and outputs.
• Identify when a required business metric is not directly available in source data and create the logic to derive it.
• Develop statistical, analytical, and machine-learning models to support business decisions.
• Create derived datasets, features, scores, aggregations, classifications, or predictions.
• Implement transformations in Palantir Foundry using Python, PySpark, SQL, Code Repositories, Pipeline Builder, or similar tools.
• Understand source-data lineage, relationships, primary keys, and how outputs should connect to the Palantir Ontology and downstream applications.
• Validate model logic and outputs with business subject-matter experts.
Required qualifications:
• Strong practical data-science experience, including statistics, data modeling, feature engineering, and machine learning.
• Experience selecting and applying appropriate methods for real business problems—not only writing code.
• Experience with methods such as random forest, NLP/text analysis (TF-IDF, vectorization, truncated SVD), classification, clustering, forecasting, or similar analytical techniques.
• Strong Python and/or PySpark experience for data transformation and model development.
• Experience creating production-ready datasets and transformations from multiple source systems.
• Ability to explain analytical logic clearly to both technical and business users.
Preferred qualifications:
• Hands-on experience with Palantir Foundry, especially Code Repositories, Pipeline Builder, data lineage, Ontology, and operational applications.
• Experience deploying analytical or ML outputs into business workflows, dashboards, or decision-support tools.
• Experience with unstructured data, document/text analysis, embeddings/vectorization, or computer-vision workflows.
• Automotive, manufacturing, quality, warranty, product-development, or engineering-data experience.
Important distinction: standard data analyst work—mapping fields, identifying keys, connecting datasets, and documenting lineage—is useful but is not sufficient for this role. We need someone who can create the analytical logic and data products that do not already exist in the source systems.
Agent/AIP development is a separate capability and is not required for this position.
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