Role: Data Scientist
Location: Auburn Hills, MI 48326 (100% On-site)
Duration: 6+ months
Skills: Digital : Data Science
Experience Required: 10 & Above
Primary Responsibilities Data Science & Analytics Lead exploratory data analysis (EDA) to uncover trends, anomalies, and underlying drivers in large, complex datasets Perform root cause analysis (RCA) to diagnose business, operational, and performance issues using data-driven methods Design, develop, and deploy machine learning models including classification, regression, clustering, and time-series forecasting Build predictive and prescriptive analytics solutions to support customer decision-making and operational optimization Apply statistical modeling, hypothesis testing, and causal analysis to explain outcomes and validate assumptions Conduct feature engineering, model evaluation, and performance tuning to ensure robust and interpretable models Design and analyze experiments and A/B tests to measure impact and inform recommendations
Secondary Responsibilities 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
5+ 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, TensorFlow, or PyTorch. 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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