Head of Data Science

Job not on LinkedIn

🔥 21 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $206.3k - $288.8k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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PORCH 💚

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

🤝 B2B

👥 B2C

Insurance • B2B • B2C

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

• Define, execute, and lead the data science strategy in alignment with the company’s vision, goals, and objectives—establishing initiatives that drive premium growth, improve retention, enhance customer satisfaction, and maximize shareholder value. • Provide direction and guidance to a high-performing data science team; recruit, mentor, and develop data scientists and machine learning engineers while fostering a culture of innovation, continuous improvement, and technical excellence. • Embed AI-first thinking and hands-on AI tool adoption as a standard across the team, ensuring the organization remains at the forefront of applied machine learning and LLM-based capabilities. • Partner with senior executives, insurance business leaders, and cross-functional teams to define project scope, integrate data science across the organization, and deliver measurable results. • Manage the data science budget, establish project timelines, and define KPIs and metrics to assess the impact and effectiveness of data science initiatives. • Dive into operational data to identify opportunities to improve fidelity, accuracy, and accessibility; design and implement A/B tests and experiments to measure the impact of models and business tactics. • Own the data science technical roadmap and heavily influence data engineering and analytics roadmaps through regular collaboration with engineering and business stakeholders.

🎯 Requirements

• 12+ years of experience in data science, applied statistics, actuarial science, machine learning, or econometrics at the industry level (or 15+ years combining academia and industry) • Strong technical data science skills including hands-on experience in statistical modeling, A/B testing, data pipeline architecture, working knowledge of modern LLM APIs, MLOps tooling, and cloud-native AI infrastructure • Demonstrated ability to lead and inspire a team, with a track record of building high-performing organizations and fostering cultures of innovation and technical excellence • Excellent communication skills with the ability to convey complex technical results to non-technical stakeholders, including senior executives and board-level audiences • Highly analytical with strong intellectual curiosity and a drive to apply new modeling methods to optimize business performance • Significant experience with data science technology stacks and the end-to-end process of taking models from development to production • Preferred: PhD in a technical discipline • Preferred: 5+ years of experience in the homeowners insurance industry

🏖️ Benefits

• Long-term incentive awards • Annual bonus based on individual and company performance • Comprehensive health coverage (3 Medical plan options, 2 Dental plan options, Vision plan) • Voluntary Critical Illness, Hospital Indemnity and Accident plans • Pre-tax savings options (partially employer funded Health Savings Account, employee Flexible Savings Accounts) • Company paid Basic Life and AD&D, Short and Long-Term Disability benefits • Voluntary Life and AD&D plans • Traditional and Roth 401(k) plans with discretionary employer match • Employer paid wellbeing program (Supportlinc) • Discounts on gym memberships, travel, appliances, movies, pet insurance (LifeBalance) • Flexible paid vacation and paid parental leave • Paid sick time and company-paid holidays (typically nine per year) • Identity theft program and travel assistance • Fitness and other discounts programs