Build machine learning models to personalize our product and connect users with the policies that best fit their needs
Work closely with cross-functional stakeholders to understand business needs and develop ML based solutions
Analyze product data, design experiments, and drive the collection and integration of new data sources
Write clean, maintainable production code to operationalize models using best practices from software engineering
Perform peer code reviews, mentor other data scientists, and drive continuous improvement in our platform and practices

3-10 years' experience in a technical data role with 3+ years of hands-on experience building machine learning / statistical models
MS / PhD in a quantitative field is a plus but not required
Proven mathematical foundation and knowledge of a variety of ML and statistical methods (e.g. regression, classification, clustering, experimental design)
Solid foundation in software engineering with a strong proficiency in both core Python and the Python data ecosystem (sklearn, pandas/polars, etc)
Basic familiarity with engineering topics like CI/CD, unit testing, orchestration, cloud ecosystems is required
Experience mentoring junior data scientists is a plus

Competitive Compensation & Stock Option Offering
Health, Dental, Vision & Disability Coverages
HSA offering + employer contribution
401k plan + employer match
Unlimited PTO (paid time off)+ the flexibility to enjoy it
Paid Parental Leave Program
Wellness perk ($100/month)
Pet Adoption Reimbursement ($300/year)
Learning & Development Opportunities
Join a team that truly lives their values (outside of the office. Cliche, we know… but we really mean it)

Senior Data Scientist

Key skills