Data Scientist
Must Have Technical/Functional Skills
•Good understanding of machine learning including with extensive hands-on experience in model building (gradient boosting (XGBoost/LightGBM),
GLMs, time series, NLP etc.
•Knowledge of data management and visualization techniques
•Ability to do data analysis using Python
•Expertise in statistical analysis, feature engineering, A/B testing techniques and predictive modeling
•Good knowledge of Python Datascience stack: pandas, scikit-learn, MLflow (or similar), model evaluation rigor
•Experience with SQL
•Excellent communication skills and ability to work with partners: translating business problems into ML framing
•Good understanding of GenAI
Roles & Responsibilities
•Understand domain and data analytics requirements
•Perform data preprocessing that involves data transformation as well as data cleaning.
•Conduct data mining and collection procedures
•Ensure data quality and integrity
•Interpret and analyze data problems
•Conceive, plan and prioritize data projects
•Build analytic systems and predictive models
•Increase the performance and accuracy of machine learning algorithms through fine-tuning and further
•Visualize data and create reports
•Experiment with new models and techniques
•Conduct EDA and Explainability
•Align data projects with organizational goals
Education: MS
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.
Salary Range: $120000 - $150000 a year
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More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services


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