Sr. Data Scientist

Job Description: 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

• Responsibilities: 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.

Qualifications: Professional certification such as CA, CPA, CISA or CIA. 7-9 years of experience.