Job Description & How to Apply Below
Palantir Foundry & AIP Enablement
Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data
Operationalize data science and ML solutions using Foundry pipelines, ontology, and applications
Leverage Palantir AIP to support AI-enabled use cases such as decision support tools, copilots, or LLM-assisted workflows
Implement Retrieval-Augmented Generation (RAG) patterns where applicable to ground AI outputs in enterprise data
Collaborate with platform and engineering teams to deploy solutions with appropriate governance, security, and compliance controls
Perform RCA on data quality issues, model behavior, and workflow outcomes within the Foundry/AIP ecosystem
Support customer adoption by explaining analytical logic, assumptions, and limitations in clear business terms
Required Qualifications
5+ years of experience in Data Science, Advanced Analytics, or Applied Machine Learning
Strong hands-on experience in exploratory data analysis, statistical modeling, and root cause analysis
Proficiency in Python and SQL
Experience with ML libraries such as Scikit-learn, XGBoost, Tensor Flow, or Py Torch
Solid understanding of statistics, probability, and experimental design
Experience working with large-scale, enterprise-grade datasets
Hands-on experience with Palantir Foundry ; exposure to Palantir AIP is strongly preferred
Experience working in customer-facing, consulting, or stakeholder-heavy environments
Strong communication skills with the ability to explain complex analytical concepts clearly
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