About Reserv

Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Reserv is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike. We have ambitious (but attainable!) goals and need people who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can't wait to meet you.

Location Requirement

Candidates must reside in an eligible U.S. state throughout employment. We are unable to hire candidates residing in California, Alaska, Hawaii, U.S. territories, or outside the United States.

As a Senior Data Scientist at Reserv, you will help guide the trajectory of our data offering and drive growth for years to come. You will play a crucial role on our data science team, collaborating directly with the business to understand our customer’s areas of analytical interest and build modeling to explore these. This position is ideal for a data scientist with a solid foundation in predictive modeling and data analysis and an innovative mindset ready to shape the future of one of the key components of our value proposition.

Key Responsibilities:

• Conduct hypothesis driven analyses across our customer’s multiple claims portfolios and surface trends that can be leveraged to improve claims outcomes
• Guide the creation and implementation of both heuristic and complex predictive models, adhering to the principle of "Occam’s Razor."
• Build and maintain software tools that allow us to scale our insight generation capabilities
• Collaborate with our customer facing teams to empirically ground our perspective on market trends and insights
• Mentor junior data scientists and support analysts at customer companies.
• Communicate technical ideas and specifications clearly and precisely to non technical audiences.
• Continuously deploy code from day one, influencing and enhancing our engineering culture.
• Engage with cross-functional teams including product ops, design, and sales as our product and engineering teams expand.

Qualifications:

• 10+ years of experience as a data scientist with a robust portfolio demonstrating high-quality analysis and modeling.
• Experience in running end-to-end experiments, including setting up datasets, developing controls, conducting hypothesis tests, running ablation studies, and rigorously evaluating outcomes.
• Expertise in Python and relevant data science libraries as well as with agentic coding tools
• Strong software engineering foundation with a commitment to delivering high-quality, maintainable, and well-tested code
• Proven ability to stay updated with state-of-the-art techniques through continuous research and application.
• Strong ability to prioritize customer requirements and adapt quickly to evolving project scopes.
• Passionate about creating intuitive technology solutions and a continuous desire to learn and take on new challenges.

Benefits

• Generous health-insurance package with nationwide coverage, vision, & dental
• 401(k) retirement plan with employer matching
• Competitive PTO policy – we want our employees fresh, healthy, happy, and energized!
• Generous family leave policy after 8 months of continuous work
• Work from anywhere to facilitate your work life balance
• Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder!

At Reserv, we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you!