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)

Key Skills

Education

Any Graduate