Data Scientist

Job description

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 Base Salary Range

• $100,000 to $125,000 Per Annum TCS Employee Benefits Summary: Discretionary Annual Incentive.

Comprehensive Medical Coverage

Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support

Maternal & Parental Leaves.

Insurance Options

Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth

Commuter Benefits & Certification & Training Reimbursement.

Time Off

Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance

Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN </div

Qualifications

BACHELOR OF COMPUTER SCIENCE