Job Title: Data Scientist with Palantir Foundry exp

Location:  Auburn Hills, MI (5 days onsite)

Duration: Long Term

Description

Must Have Skills:

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 operationalizing ML models within Foundry · 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 and SQL · Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch · Solid foundation in statistics, probability, hypothesis testing, and experimental design · Experience working with large-scale enterprise datasets

Roles & Responsibilities

Data Science & Analytics

· Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets · Conduct RCA to diagnose operational, business, and performance issues using data-driven techniques · Design, build, and deploy machine learning models for predictive and prescriptive analytics · Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes · Execute feature engineering, model evaluation, and performance tuning to ensure robust solutions · Design and analyze experiments and A/B tests to measure business impact · Implement Retrieval-Augmented Generation (RAG) patterns where applicable · Troubleshoot data quality, model behavior, and workflow issues

Stakeholder & Delivery Engagement

· Work closely with stakeholders in customer-facing and consulting environments · Clearly articulate analytical logic, assumptions, and limitations to business and technical audiences · Support adoption and value realization of analytics and AI solutions