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Metro locations and broad ML skill requirements increase competition.
Core ML/statistics skills are transferable but senior role favors domain-specific experience.
Explicit senior experience band and mandatory ML/domain skills including R/Python and end-to-end pipeline experience.
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Work independently on advanced AI/ML research and projects enabling clients to leverage data for business impact.
Lead and manage a team of Data Scientists, handling stakeholder interactions to identify data-driven business opportunities.
Design, deliver, and implement high-quality AI/ML solutions across domains including customer segmentation, forecasting, and price optimization.
5.6 to 11 years of experience in core Data Science & Machine Learning projects.
Expert proficiency in R or Python and strong skills in data structures and ML algorithms.
Experience with end-to-end data science pipelines: problem scoping, data gathering, EDA, modeling, insights, visualization, and monitoring.
B.E/B.Tech/M.Tech in Computer Science or a related technical field, or equivalent.
Experienced leading and managing data science teams within fast-paced, client-facing AI/ML environments.
Hands-on with various ML algorithms and comfortable driving solutions from research through deployment and monitoring.
Familiarity with multiple industry domains (e.g., CPG, BFSI, Healthcare) and advanced topics like deep learning, NLP, or recommender systems is a plus.