Reserv is an insurtech company focused on automating highly manual tasks to solve long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters. The company is seeking to define its growth potential by delivering high fidelity data and insights to customers.
Requirements
- Strong proficiency in SQL (e.g., Postgres, BigQuery, or Snowflake) and experience working with large, structured datasets.
- Have a strong demonstrated toolkit to build robust and performant models.
- Have a proven track record of shipping high quality data analysis at a high cadence.
- Able to think through customer requirements and prioritize what is a must-have, nice-to-have, or irrelevant.
- Have a strong technical skillset but also the willingness and ability to take over tasks outside your core competency.
- Python (Pandas to NLTK)
- Postgres, Looker, dbt, AWS
Responsibilities
- Work with our data stack: Python (Pandas to NLTK), Postgres, Looker, dbt, AWS, etc.
- Serve as the main technical liaison between Reserv and our largest customers
- Ship reporting code and build ML tools that solve for our customers needs
- Help translate the core lifecycle of a claim into structured data and partner with the product ops team to incorporate low drag data collection into the claim lifecycle
- Communicate ideas and specifications through detailed, precise writing
- Influence the culture, values, and processes of a growing engineering team
- Enjoy and have fun being creative and thinking outside of the box.
Other
- 6-8 years of experience as an individual contributor with experience using modern analytics and programming languages with an emphasis on statistical analysis.
- A proven ability to interface with high value customers and communicate with both technical and non technical audiences in a fast-paced environment.
- Work from anywhere to facilitate your work life balance
- 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.
- If you believe you are a good fit for this role, we would love to hear from you!
