Data Scientist Must Have Technical/Functional Skills • 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 • Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data • 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 Generic Managerial Skills, If any • 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 Education Bachelors Salary Range: $120000 - $125000 a year #LI-JH1