
Connecting food lovers with local restaurants
DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...
DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...
DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...

DoorDash USA • United States - Remote
DoorDash is seeking a Senior Actuarial Analyst specializing in Predictive Analytics to enhance their risk management strategies. You'll leverage data-driven insights and predictive modeling techniques to inform insurance decisions. This role requires strong analytical skills and experience in actuarial practices.
You have a strong background in actuarial science with a focus on predictive analytics — your experience includes building models and establishing KPIs that drive business decisions. You are adept at using data to influence operations and improve efficiency in risk management. Your analytical skills are complemented by a keen business intuition, allowing you to deliver actionable insights that support strategic initiatives.
You thrive in collaborative environments, partnering with cross-functional teams including Product, Engineering, and Operations — your ability to communicate complex analytical concepts clearly is one of your strengths. You are excited about the opportunity to contribute to a rapidly growing team and help shape the future of DoorDash's risk and insurance strategies.
You are familiar with the intricacies of insurance risk management and understand the importance of data-driven decision-making in this field — your experience includes developing risk segmentation models and negotiating with insurance partners. You are committed to continuous improvement and are always looking for ways to enhance data capabilities within your team.
Experience with advanced statistical techniques and tools for predictive modeling would be a plus — familiarity with programming languages such as R or Python can enhance your contributions. A background in the insurance industry or risk management is also beneficial, as it provides context for your analytical work.
In this role, you will be a key member of DoorDash’s Actuarial Team, focusing on predictive analytics to inform insurance risk management decisions. You will build and refine models that establish key performance indicators, creating monitoring dashboards that provide insights into the insurance team’s operations. Your work will directly influence the speed and cost-effectiveness of claims resolution, making a tangible impact on the company’s bottom line.
You will support the development of risk segmentation models, leveraging your analytical skills to propose and negotiate additional rate segmentation with insurance partners during the annual renewal process. Your ability to integrate analytical outputs with business strategies will be crucial as you partner with various teams across the organization.
You will also be responsible for conducting ad-hoc analyses to provide insights that drive operational improvements — your findings will help shape the direction of the insurance program and enhance its sophistication. You will collaborate closely with Product, Engineering, and Strategy teams to ensure that your analytical work aligns with broader business objectives.
At DoorDash, you will be part of a dynamic team that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on impactful projects that shape the future of our risk and insurance strategies, contributing to the overall success of the company. We encourage you to apply even if your experience doesn't match every requirement — we value diverse perspectives and are committed to building a team that reflects the communities we serve.
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