Data Scientist

• Good understanding of machine learning including with extensive hands‑on experience in model building (gradient boosting (XGBoost/LightGBM),
• Knowledge of data management and visualization techniques
• 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
• 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

Job Description

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: $ - $ a year

Qualifications: MASTER OF SCIENCE