Data Scientist Advisor

Job description

**Key Skills:** Data Scientist, Machine Learning, Statistical Modelling, Agentic AI, Deep Learning **Roles and Responsibilities:** - Own data science initiatives end-to-end, including problem framing, exploratory analysis, model development, validation, and production support. - Apply statistical and classical machine learning methods (e.g., regression, classification, tree-based models, ensembles, time-series) to solve business problems. - Design, develop, and evaluate predictive and analytical models using rigorous statistical and ML techniques. - Perform feature engineering, model selection, tuning, and performance evaluation; clearly document assumptions and tradeoffs. - Build advanced machine learning and deep learning models using PyTorch and/or TensorFlow, and support production-quality implementation. **Skills Required:** - 11-13 years of experience in analytics, AI/digital product development, or data-driven platform roles. - Data science and end-to-end ML lifecycle ownership (development, validation, deployment, monitoring). - Advanced proficiency in Python and SQL for analytics and model development. - Hands-on machine learning and deep learning using scikit-learn, PyTorch, and/or TensorFlow. - Strong statistical modelling and ability to translate ambiguous business problems into structured analytical approaches. Good to Have: - Agentic AI experience and familiarity with AI experimentation for iterative product development. **Education:** B.Tech (any branch); Bachelor's or master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field (PhD preferred).