Senior Data Scientist, Machine Learning

Build deep-dive analyses and eventually machine learning models to better forecast risk across the portfolio for our insurance captive for contracts and claims activity. Platform-wide analytics to confirm the product is working as expected (loading of images, buttons, load times etc.). A/B testing and optimization across consumer-facing product touch points on merchant sites. Working with Data Engineering and Product to ensure proper analytics tracking is set up for all new features/products and supporting in development of ETLs. Work closely with RevOps as technical resource to build data platform to determine sales comp planning (and payouts) and assist in writing up basic scripts or financial models as needed. Manage tests for specific merchants and generate data to build out case studies and GTM messaging strategies. Drive portfolio-wide revenue optimization and communication to merchants on personalized optimization based on testing across our platform. Work with our Risk & Insurance team to build deep-dive analytics and machine learning models to better forecast risk across our portfolio. Create platform analytics to confirm product operation is as expected and develop new processes to optimize warranty mapping operations, plan pricing, and merchant attach rates. Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across the Extend platform, and support teams throughout Extend by delivering analyses and process improvements to help the business continue to scale. Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes.