About the Team

The Risk & Insurance team at DoorDash is responsible for all things insurance at the company. We are a rapidly growing and exciting function that helps DoorDash manage risk and safety with a close lens on the company's bottom line. We are looking for forward thinkers who are excited to help build out this team and match our ambitious cross-functional partners at DoorDash.

About the Role

We are looking for a passionate Senior Actuarial Analyst - Predictive Analytics who will be a member of DoorDash’s Actuarial Team within the Risk and Insurance Team. As one of the newest members of the actuarial team, you’ll have the rare opportunity to improve our data capabilities and seek data-driven insights to inform our insurance risk management decisions. In this role, you will report to the Senior Manager, Actuary.

You’re excited about this opportunity because you will…

• Build models, establish KPIs with monitoring dashboards, and produce ad-hoc analysis to influence the insurance team’s operation and lead to faster, more cost-effective claims resolution. 
• Support the development of DoorDash’s risk segmentation model. Leveraging keen business intuition and predictive modeling techniques to deliver an actionable risk model.
• Drive increased sophistication in our insurance program structure by proposing and negotiating additional rate segmentation with our insurance partners as part of our annual renewal process.
• Partner with Product, Engineering, Strategy, and Operations, and other relevant cross-functional partners to integrate analytical and predictive modeling outputs into product initiatives that will help drive down insurance costs. 

We’re excited about you because you have…

• Flexibility, resourcefulness, optimism, grit, and a growth mindset
• 2-5 years of experience in a quantitative or analytics role within the insurance industry
• Strong SQL and Python/R skills are a must
• Experience in assisting with building or improving predictive modeling (e.g., GLM, GBM) is a must.
• Prior experience working with or for a gig or sharing economy company is a plus
• Strong communication skills.
• Work experience in the Property & Casualty Insurance industry is preferred
• Experience with Tableau or similar data visualization tools is a plus.

Why You’ll Love Working at DoorDash

• We are leaders - Leadership is not limited to our management team. It’s something everyone at DoorDash embraces and embodies.
• We are doers - We believe the only way to predict the future is to build it. Creating solutions that will lead our company and our industry is what we do -- on every project, every day. 
• We are learners - We’re not afraid to dig in and uncover the truth, even if it’s scary or inconvenient. Everyone here is continually learning on the job, no matter if we’ve been in a role for one year or one minute.
• We are customer-obsessed - Our mission is to grow and empower local economies. We are committed to our customers, merchants, and dashers and believe in connecting people with possibility.
• We are all DoorDash - The magic of DoorDash is our people, together making our inspiring goals attainable and driving us to greater heights. 
• We offer great compensation packages and comprehensive health benefits.

We expect this position to be filled by 1/6/2026

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary,