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