• Model Building Cycle pulls, cleanse, and validates data for analysis and modeling. 
• Create and implement predictive models for a various business processes like payment risk, (unsupervised learning), catalog optimization, etc. 
• Work with data scientists and other developers and cross-functionally with product managers and other engineering teams to deliver predictive models from concept to product. 
• Work with software engineers to put predictive models in production.