CURRENT ROOT EMPLOYEES - Please apply using the career page in Workday. This career site is for external applicants only.
The Opportunity
We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
Join our Lifetime Value (LTV) Quantitative Sciences Team as a Lead Analyst I and play an important part in improving the way we estimate customer LTV. Our advanced machine learning models drive key company decisions, from enhancing the onboarding experience to optimizing marketing investments. With your analytical expertise, you’ll elevate our operational excellence, improve LTV accuracy, and support smarter, data-driven strategies across the organization.
In this role, you’ll drive operational excellence by developing robust monitoring dashboards and reporting frameworks. You’ll deliver weekly and monthly performance updates to senior leadership, ensuring clarity and insight on our metrics. Collaborating closely with data scientists, engineers, and other cross-functional teams, you’ll establish rigorous testing strategies, answer performance-related queries, and analyze discrepancies between forecasted and actual outcomes. Your expertise will also guide the continuous enhancement of our analytical methods, adapting them to align with evolving business needs.
Root is a “work where it works best” company, meaning we will support you working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus to give more flexibility and more choice about how we live and work.
Salary Range: $120,000 - $150,000 (Bonus and LTI eligible)
How You Will Make an Impact
Monitor the accuracy of ML model projections by building dashboards and new monitoring frameworks
Analyze projections to identify and diagnose discrepancies between forecasted and actual performance
Drive model improvements by conducting feature research and enhancing SQL-based forecasting methods
Provide weekly and monthly business updates to senior leadership on model performance
Contribute to stakeholder-facing dashboards and disseminate high-level findings
Minimize human-in-the-loop systems by automating repetitive tasks
Enhance anomaly detection systems to inform the team of model performance concerns and spur timely remediation
Work cross-functionally to answer ad hoc questions regarding model performance and anomalies
Work with data scientists and engineers to build and maintain rigorous model testing methodologies
Identify opportunities to introduce or improve analytical methodologies to drive value
Build strong relationships with cross-functional partners to maintain alignment and awareness across initiatives
What You Will Need to Succeed
5+ years of work experience in analytics (prior insurance experience preferred)
Expertise in SQL and BI software (Tableau, Mode, Power BI, etc.)
Bachelor’s degree in Mathematics, Statistics, Computer Science, or another quantitative field
Superior problem-solving skills with the ability to think strategically and innovatively
Exceptional written and oral communication; able to effectively collaborate with and present materials to Director and VP levels, strong data visualization skills
Detail-oriented; able to multitask across multiple domains; consistently maintains rigorous documentation
Roll-up-the sleeves work ethic and “do-what-it takes” attitude to efficiently execute and drive results in a fast-paced work environment
Embody best practices through automation and by leaning into reproducible processes
Ability to set quarterly goals and independently assess strategic options within familiar domains
Experience assessing machine-learning model performance and conducting root cause analysis
Preferred but not required
Understanding of insurance pricing and unit economics
Familiarity with Python and version control software (e.g., Git)
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Root, Inc., we are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway!
At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team.
We’re harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, we’ve built one of the most innovative FinTech companies in the world. And we’re just getting started.
Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and you’ll hear similar reasons for why they joined:
Autonomy—for assertive self-starters, the opportunities to contribute are limitless.
Impact—by challenging the way it’s always been done, we solve problems that have a big impact on our business.
Collaboration—we encourage rich discussion and civil debate at every turn.
People—we are inspired by the collection of crazy-smart people around us.
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