Collaborate across Sales, Underwriting, Operations, Finance, and Engineering to understand business needs and scope data requirements, then drive those projects to completion with minimal guidance
Work with product, insurance, CRM and more datasets end-to-end--from ingestion and transformation through analysis and delivery--using a range of analytical and statistical approaches
Build and maintain models that help the business predict, prioritize, and act quickly and more frequently
Create visualizations, dashboards, and reports to effectively communicate insights tailored to different audiences

Requirements

2-5 years of experience as a data scientist in a related insurtech or financial services field
Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Data Science, Computer Science)
Expert with SQL and proficiency with either Python or R
Proficiency with descriptive and inferential statistics
Familiarity with building, deploying, and maintaining machine learning models in production environments
Comfortable communicating recommendations and analysis in compelling data visualizations
Experience or interest in building out the team's agentic analytics capabilities

Benefits

Insurance coverage fit for an insurance company – with some plans at no cost to you
Competitive compensation, equity, and total rewards
401(k) with an annual company match
20-days of PTO (increased to 25-days after 2-years)
Professional development opportunities
Remote-first working environment with investments in in-person collaboration
Annual $500 home office stipend
Monthly WiFi stipend
Generous paid parental leave
An early stage, tech-enabled insurance startup offering unique opportunities for growth

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceSQLPythonRdescriptive statisticsinferential statisticsmachine learningdata visualizationdata analysisdata transformation

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingproject management