Senior Insurance Data Analyst

San Francisco, CA; Los Angeles, CA; United States - Remote

Applications have closed
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DoorDash

When you join our team, you join our dream: to grow and empower local economies. We’re focused on improvement—from moving faster to leveling up the quality of our product—and our work is never complete. If you’re looking to define your career...

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About the Team

The Risk & Insurance team at DoorDash is responsible for all things corporate 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. The team is divided into three separate subgroups: Actuarial, Claims Operations and Risk Management & Mitigation. We are looking for forward thinkers that are excited to help build out this newly-formed team and match our ambitious cross functional partners at DoorDash.

About the Role

We are looking for a non-traditional data scientist who will be a member of DoorDash’s Risk & Insurance function, and will focus on building out data models for our third party insurance programs and captive insurance company. In this highly visible role, you’ll have the opportunity to come in as the first data hire on the Risk & Insurance team and help lead projects aimed at reducing overall incidents in the DoorDash ecosystem.

You’re excited about this opportunity because you will…
  • Leverage your domain expertise in building from the ground up and conducting internal loss data analysis related to our insurance risk
  • Own a process with significant visibility that will be utilized by senior executives  
  • Build internal data models, monitor loss trends/development and effectively communicate relevant  business implications to cross functional group, including Risk & Insurance, Dasher Operations, and Trust and Safety
  • Partner with external stakeholders including insurers & brokers to produce actionable data insights that will help DoorDash reduce safety incidents
We’re excited about you because you have…
  • 3+ years experience as a data scientist or related role
  • BA/BS degree in data science, mathematics, statistics, computer science or other quantitative field
  • Ability to work with SQL and Python (or other related language) to manage and analyze large datasets
  • Experience with, or deep understanding of, commercial auto insurance
  • Prior experience working with or for a gig or sharing economy company a plus
  • Experience working with a Captive a plus
  • Outstanding communication skills and an ability to clearly explain/teach complex data concepts and modeling techniques to internal stakeholders
About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $110,925 - $150,075, plus opportunities for equity and commission. Compensation in other geographies may vary. 

If you need any accommodations, please inform your recruiting contact upon initial connection.

Tags: Data analysis Excel Python SQL Statistics

Perks/benefits: Equity Insurance Parental leave Wellness

Regions: Remote/Anywhere North America
Country: United States
Job stats:  17  8  0
Category: Analyst Jobs

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