Develop predictive models and machine learning solutions for fraud detection, customer behavior, financial risk, and marketing optimization. Analyze large transaction datasets using Python and PySpark, explore new data sources, and build data pipelines and visualizations to monitor model performance and data quality. The role involves end-to-end project ownership, cross-functional collaboration, and communicating technical concepts to non-technical audiences.

Develop data structures and pipelines in data lakes and Snowflake, maintain data quality and processes, build automated reporting and visualizations, and analyze large datasets. Collaborate cross-functionally to identify business problems, recommend solutions, and support deployment while communicating technical concepts to nontechnical audiences.