Data Scientist

Job TitleMust 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 datasetsRoles & 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 issuesStakeholder & 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 solutionsGeneric 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