Data Scientist

Role: Data Scientist 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 Managerial Skills Strong analytical and problem-solving skills Excellent communication and stakeholder management capabilities Ability to work independently and collaboratively in cross-functional teams Structured thinking and outcome-oriented mindset