Sr. Data Scientist

Core Responsibilities Client & Program Leadership Serve as primary client partner for analytics engagements, shaping problem statements, defining success criteria, and managing executive updates. Translate business goals into data science roadmaps and measurable outcomes. Establish and run program governance (steering committees, RAID logs, change control, dependency management). Delivery & Value Realization Own scope, plan, and delivery across multiple workstreams; track timelines, budgets, and outcomes; ensure on‑time, on‑budget delivery. Define value baselines and benefit tracking . Lead end-to-end development of AI/ML models including problem formulation, data exploration, feature engineering, model training, validation, and deployment. Design and implement predictive, prescriptive, and generative AI solutions using structured and unstructured data. Drive adoption of ML best practices, including model explainability, fairness, bias detection, and performance monitoring. Data Science & MLOps Leadership Lead end-to-end development of AI/ML models including problem formulation, data exploration, feature engineering, model training, validation, and deployment. Design and implement predictive, prescriptive, and generative AI solutions using structured and unstructured data. Drive adoption of ML best practices, including model explainability, fairness, bias detection, and performance monitoring. Architect and oversee production-grade ML pipelines using MLOps principles. Professional certification such as CA, CPA, CISA or CIA. 7-9 years of experience.