Oversee large-scale data analytics projects, manage teams to develop reporting tools, and analyze data to enhance operational performance while ensuring compliance with regulatory standards in health data management.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

Data Scientist II collecting data and building analytics solutions at TD.

The role involves exploring customer and partner datasets, developing predictive models, and applying machine learning techniques to uncover trends and insights that improve industry practices. Responsibilities include analyzing large datasets, constructing data processing workflows, performing data enrichment, and developing complex SQL queries and Python scripts for data transformation and modeling.