Skills and Experience

- Work experience of 6+ years of experience in applied data science, analytics, or ML engineering.
- Strong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling.
- Strong analytic and problem-solving skills, understanding and experience in application of AI methodologies for data manipulation and insight.
- Experience in building and execution of advanced solutions for audience analytics and insights.
- Solid SQL skills and comfort working with large-scale, multi-source data.
- Experience with version control (Git) and collaborative coding workflows.
- Advanced Python skills, incl. pandas, Numpy, scikit-learn, SciPy, stats models for modelling and analytics.
- Solid understanding of predictive modelling, feature selection,



and model evaluation (AUC, lift, calibration, etc.).
- Experience with gradient boosting methods (xgboost, lightgbm, or cat boost).
- Experience with Power BI or other data visualization tools especially geo coded data is a big plus.
- Sufficient knowledge of data governance practices including data QA, general naming taxonomy, data & platform integration, etc.
- Ability to foster collaborative relationships with cross-functional team.
- Excellent written, oral, and presentation communication.
- Ability to communicate analytical findings to non-technical stakeholders clearly and impactfully.

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