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

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• 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.