Assistant Vice President, Data Scientist

Responsibilities

• Lead the design, development, deployment, and continuous improvement of predictive, prescriptive, and AI-driven solutions across customer acquisition, retention, churn management, upsell/cross-sell, content consumption, and marketing optimization.
• Own the end-to-end machine learning lifecycle: define business problems, data sourcing and feature engineering, model development and validation, performance monitoring, retraining, and measuring business impact.
• Develop and implement advanced analytics using machine learning, statistical modeling, causal inference, forecasting, optimization, and GenAI techniques.
• Partner with business stakeholders to identify opportunities, prioritize use cases, and translate business challenges into scalable analytical solutions.
• Leverage customer, transaction, operational, digital, and third-party data to generate actionable insights and recommendations.
• Drive experimentation...