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Strong Tier-1 brand, hybrid work, mid-level data scientist title, and metro location increase competition.
Technical ML/AI and productionization skills are transferable but require specific LLM and lifecycle experience.
Mandatory 5+ years, advanced ML/LLM tooling, deployment expertise, and degree requirement create high shortlisting strictness.
Own end-to-end data modeling projects including problem framing, modeling, deployment, and communicating results to senior leadership.
Lead stakeholder engagement to clarify requirements, prioritize, and deliver measurable business impacts.
Guide technical direction, mentor team members, and implement advanced machine learning and LLM-based solutions to drive revenue and operational improvements.
Master's degree in Data Science, Statistics, Computer Science, Mathematics, Physics, or related quantitative field; PhD is a plus.
Minimum 5 years of professional data science experience with a proven record of independently delivering end-to-end modeling projects.
Expert proficiency in SQL and Python; experience with machine learning frameworks (TensorFlow, PyTorch), distributed platforms (Snowflake, Databricks), ML lifecycle tools (MLflow), and containerization (Docker, Kubernetes).
Work location: Hyderabad, India office with 3-5 days onsite per week.
Experienced senior data scientist comfortable leading complex analytical projects and managing cross-functional stakeholder relationships under ambiguity.
Strong technical leader with advanced expertise in LLM prompt engineering, model development, ML pipeline production, and experiment design.
Demonstrated ability to mentor peers, drive best practices, and communicate complex technical concepts clearly to diverse audiences including executives.