Lead design, development, and deployment of predictive ML models and anomaly detection. Perform extensive EDA, feature engineering, model evaluation, A/B testing, and customer segmentation. Build monitoring and governance for models, collaborate with Product/Engineering/Marketing, and ensure scalable data pipelines and model integration to drive member acquisition, retention, and product optimization.

Lead the design and maintenance of analytics infrastructure, ensuring data quality and governance while enabling self-serve analytics across teams.