Staff Data Scientist (Insurance Risk and Pricing)

Location: Remote in the United States, excluding Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West Virginia, and the District of Columbia; non-Seattle Washington location.

Salary: $168,800–$236,300 annually, plus eligibility for long-term incentive awards.

Company

hirify.global is a vertical software and homeowners insurance platform serving the home-buying and home-services ecosystem through SaaS products and insurance offerings.

What you will do

• Set the technical direction, standards, and best practices for insurance pricing and risk modeling.
• Architect, deploy, validate, and monitor GLM-based frequency, severity, and loss-cost models for homeowners insurance.
• Build machine learning, ensemble, profitability, retention, conversion, and customer lifetime value models.
• Use aerial imagery, satellite data, government records, permits, and other property-level data to quantify localized risk.
• Partner with actuarial, product, engineering, and business leaders to integrate models into operational workflows and regulatory filings.
• Lead A/B testing, performance monitoring, continuous model refinement, and evaluation of generative AI and LLM applications.

Requirements

• 10+ years of data science experience with significant insurance pricing or risk-modeling expertise.
• Technical leadership experience, including setting direction, establishing standards, mentoring, and providing technical oversight.
• Production experience with GLM-based pricing models and machine learning models such as gradient boosting.
• Proficiency in Python and SQL, including experience with scikit-learn, statsmodels, XGBoost, or LightGBM.
• Experience with experimental design, A/B testing, causal analysis, cloud data platforms such as BigQuery or GCP, and MLOps practices.
• Experience with Confluence, Jira, and Agile/Scrum; a master's or PhD in a quantitative field is preferred.

Nice to have

• Actuarial science or insurance mathematics experience, including regulatory model filing.
• Customer lifetime value, retention, conversion, geospatial, or spatial data analysis experience.
• Generative AI, LLMs, prompt engineering, or fine-tuning experience in insurance or financial services.
• Experience with causal inference, model governance, validation frameworks, and insurance regulatory compliance.

Culture & Benefits

• Remote work arrangement for eligible US locations.
• Medical, dental, vision, critical illness, hospital indemnity, and accident plan options.
• Health Savings Account, Flexible Spending Accounts, company-paid life and disability coverage, and traditional or Roth 401(k) with discretionary employer match.
• Flexible paid vacation, company-paid holidays, paid sick time, and paid parental leave.
• Wellbeing, mental health, mindfulness, travel assistance, fitness, and family support resources.

Hiring process

• Talent Acquisition reviews applications and may schedule an initial conversation.
• Selected candidates may proceed to virtual interviews.