Staff Data Scientist – Insurance Risk, Pricing

🔥 15 hours ago

☕ Washington – Remote

☕ Washington – Remote

💵 $168.8k - $236.3k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PORCH 💚

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

PORCH 💚 is a next-generation insurance company that provides comprehensive software and services to various home service industries. It streamlines interactions for home professionals, utility customers, realtors, and homeowners by offering tools for inspections, moving, mortgage processes, and home maintenance. Through its partnerships, Porch enhances the home buying experience by simplifying service requests, onboarding new customers for warranty and insurance companies, and assisting with home improvement projects.

📋 Description

• Set the technical vision for insurance pricing and risk modeling • Establish best practices and modeling standards across the data science team • Provide technical oversight and mentorship to other data scientists • Architect and deploy GLM-based frequency, severity, and loss-cost models for homeowners insurance pricing • Build machine learning models, including GBMs and neural networks, to improve underwriting accuracy, competitive positioning, and profitability • Develop ensemble models for insured-level profitability, customer retention, conversion, and customer lifetime value • Lead use of aerial imagery, satellite data, government records, and building permits to quantify localized risk • Partner with product, actuarial, engineering, and business leaders to scope initiatives and integrate data science solutions into operational workflows • Collaborate with actuarial teams to develop, file, implement, and monitor predictive models meeting regulatory requirements • Champion deployment practices including A/B testing, performance monitoring, and continuous refinement • Evaluate emerging techniques, including generative AI and LLMs, for competitive advantage

🎯 Requirements

• 10+ years of experience in data science, with significant depth in insurance pricing or risk modeling • Track record of technical leadership, setting direction on complex projects, establishing standards, and mentoring or providing technical oversight to other data scientists • Expertise architecting, validating, and deploying GLM-based pricing models in production, ideally for homeowners or other property/casualty lines • Experience with machine learning models for non-pricing use cases • Proficiency in Python and SQL • Experience implementing GLMs and gradient boosting models using scikit-learn, statsmodels, xgboost, and lightgbm • Experience with experimental design, model deployment, A/B testing in high-traffic environments, and causal analysis • Experience with cloud-based data platforms such as BigQuery and GCP • MLOps experience, including model training pipelines, versioning, and monitoring • Proficiency with Confluence and Jira • Experience working in an Agile/Scrum environment • Master’s or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field preferred • Nice to have: background in actuarial science or insurance mathematics and regulatory model filing collaboration • Nice to have: customer lifetime value, retention, or conversion modeling experience • Nice to have: geospatial or spatial data analysis experience • Nice to have: generative AI and LLM exposure, including prompt engineering or fine-tuning • Nice to have: experimentation frameworks and causal inference methods • Nice to have: model governance, validation frameworks, and regulatory compliance in insurance • Applicants must be eligible to work in the US; Porch Group does not consider applicants from Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West Virginia, or the District of Columbia for remote positions

🏖️ Benefits

• Long-term incentive awards, subject to program guidelines and approvals • Three medical plan options • Two dental plan options • Vision plan • Voluntary Critical Illness, Hospital Indemnity, and Accident plans • Partially employer-funded Health Savings Account • Healthcare, dependent care, and transportation Flexible Spending Accounts • Company-paid Basic Life and AD&D insurance • Company-paid Short- and Long-Term Disability benefits • Voluntary Life and AD&D plans • Traditional and Roth 401(k) plans with discretionary employer match • Employer-paid Supportlinc wellbeing program with guided meditation, mindfulness exercises, mental health coaching, clinical care, and confidential resources • LifeBalance discounts on gym memberships, travel, appliances, movies, pet insurance, and more • Flexible paid vacation • Typically nine company-paid holidays per year • Paid sick time • Paid parental leave • Identity theft program • Travel assistance • Fitness and other discount programs • Remote work