Role & responsibilities

- Analyze large and complex datasets to identify business insights and patterns.
- Develop, train, validate, and optimize machine learning models.
- Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis.
- Build predictive and classification models using appropriate ML algorithms.
- Apply statistical techniques such as hypothesis testing, regression, probability analysis, and experimentation.
- Develop solutions using Python, SQL, Pandas, NumPy, and Scikit-learn.
- Work on supervised and unsupervised learning techniques.
- Evaluate models using suitable metrics such as precision, recall, F1-score, ROC-AUC, RMSE, and MAE.
- Collaborate with Data Engineers, ML Engineers, business analysts, and stakeholders.
- Deploy and monitor ML models in production environments.
- Communicate technical findings and recommendations to business stakeholders.
- Follow model governance, versioning, documentation, and reproducibility practices.

📌 Data Scientist (India)
🏢 Tata Consultancy Services
📍 India