Senior Data Scientist (Insurance Pricing)

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

Salary: $138,800–$194,300 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, insurance underwriting, and property data.

What you will do

• Build, validate, deploy, and monitor GLM-based frequency, severity, and loss-cost models for homeowners insurance pricing.
• Develop machine learning, ensemble, profitability, retention, conversion, and customer lifetime value models.
• Incorporate aerial imagery, satellite data, government records, building permits, and other property-level data into localized risk and underwriting decisions.
• Partner with actuarial, product, engineering, and business stakeholders to integrate data science solutions into operational workflows and regulatory filings.
• Apply high-traffic deployment practices, including A/B testing, performance monitoring, and continuous refinement.
• Establish modeling standards, mentor junior data scientists, and evaluate generative AI and LLM opportunities.

Requirements

• 5+ years of data science experience, including significant depth in insurance pricing or risk modeling.
• Technical ownership of complex projects from end to end, with experience supporting or mentoring less-experienced data scientists.
• Production experience building, validating, and deploying GLM-based pricing models, ideally for homeowners or other property/casualty insurance lines, plus machine learning models for non-pricing use cases.
• Proficiency in Python and SQL, including GLMs and gradient boosting with tools such as scikit-learn, statsmodels, XGBoost, and LightGBM.
• Experience with experimental design, model deployment and A/B testing in high-traffic environments, and causal analysis.
• Experience with cloud data platforms such as BigQuery or GCP and MLOps practices including training pipelines, versioning, and monitoring.
• Proficiency with Confluence and Jira in an Agile/Scrum environment.
• Master’s or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field is preferred.

Nice to have

• Actuarial science or insurance mathematics experience, including collaboration with actuarial teams on regulatory model filing.
• Customer lifetime value, retention, or conversion modeling experience.
• Geospatial or spatial data analysis experience involving aerial imagery, satellite data, or property-level geographic datasets.
• Exposure to generative AI and LLMs, including prompt engineering or fine-tuning for insurance or financial services.
• Exposure to experimentation frameworks and causal inference methods.
• Experience with model governance, validation frameworks, and insurance regulatory compliance.

Culture & Benefits

• Full-time remote employment within the eligible United States locations.
• Medical, dental, vision, HSA, FSA, life, disability, and voluntary insurance benefits.
• Traditional and Roth 401(k) plans with a discretionary employer match.
• Flexible paid vacation, company-paid holidays, paid sick time, paid parental leave, and wellness and travel assistance programs.
• Inclusive workplace focused on belonging, diverse perspectives, and equal employment opportunity.

Hiring process

• Submit an application for review by the hirify.global Talent Acquisition team.
• Selected applicants may have an introductory conversation followed by virtual interviews.