About the role
- Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA)
- Expertise in Machine Learning techniques: classification, regression, clustering, and time-series forecasting
- Proficiency in Python, SQL and PySpark
- Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
- Solid foundation in statistics, probability, hypothesis testing, and experimental design
- Deep hands-on experience with Palantir Foundry (Pipelines, Code Repos, Ontology, Workshop, Quiver)
- Strong experience with Palantir AIP including AI workflows, agents, and decision intelligence
and AI-enabled use cases (preferred)
- Experience integrating LLMs within Palantir AIP for enterprise use cases
- Experience working with large-scale enterprise datasets
- Experience operationalizing ML models within Foundry