Lead Risk Analytics Data Scientist

About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: You'll join our centralized Risk, Analytics & Data Science team at Extend, where you'll play an essential role in the risk monitoring process for our product protection and shipping protection offerings. You will collaborate with cross-functional teams to help Extend maintain a healthy loss ratio through premium changes, underwriting process and claims initiatives. A great opportunity to convert your analytics expertise into business impact by supporting measurement of unit economics to feed strong business decisions. You will also be partnering with the cross functional teams (Product / Program, Revenue / Sales, etc.) to develop appropriate premiums for new coverages and product categories. This isn't a "maintain the existing model" role. You'll be involved from the moment a new merchant deal is being negotiated, through program design, all the way to launch. You also have the opportunity to take ownership of data architecture for the Risk Analytics function. We've invested heav