United States onlyAt Root, we’re on a mission to improve the lives of our customers by offering better insurance solutions. We challenge ourselves to think differently in order to reimagine insurance to make it smarter, more equitable, and a better experience for all.
We strive to “unbreak” the archaic insurance industry by using data and technology in innovative new ways. We believe we must be steadfast in our commitments to research, experimentation, and disciplined data-driven decision making in order to build products our customers love.
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.
As Senior Data Science Manager and head of our Lifetime Value (LTV) team, you'll drive Root’s strategic approach to modeling customer value throughout the entire customer lifecycle. Your team will deliver forecasting, scenario modeling, and analytical insights that influence key business decisions.
You will lead the development of a centralized framework to forecast and simulate how business decisions impact customer lifetime value. Your work will bring together data, experimentation, and business context to improve customer understanding and drive better decisions. You will partner with leaders in Marketing, Pricing, Product, and Finance to identify new opportunities and align the team’s priorities with Root’s most pressing business needs.
Salary Range: $192,693 - $264,953 (Bonus and LTI Eligible)
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.
How You Will Make an Impact
- Set the direction for Root’s LTV estimation framework to bring precision and rigor to Root’s critical strategic and financial decisions
- Define and maintain the LTV roadmap, evolving models alongside the business and delivering insights that guide both current and future decisions
- Lead a team of data scientists and analysts, developing talent, guiding execution, and fostering a culture of ownership, rigor, and collaboration
- Drive improvements in automation, maintainability, and reproducibility to support scale and cross-functional adoption of LTV tools
- Champion Forecast vs. Actual (FvA) analysis as a feedback loop for improving model accuracy and simulation fidelity over time.
- Partner closely with Marketing, Pricing, Product, and Finance to align priorities and translate modeling efforts into business impact
What You Will Need to Succeed
- Advanced degree in a quantitative discipline (PhD preferred) and 7+ years of applying advanced quantitative techniques to problems in industry
- 3+ years in a leadership role, with a track record of growing talent, scaling team impact, and delivering strategic outcomes
- Demonstrated experience building, validating, and applying statistical machine learning methods to industry problems
- Proven ability to work cross-functionally to drive alignment between data science priorities and high-impact business initiatives
- Fluency in Python and SQL, with experience in cloud-based environments and modern data science workflows (e.g., version control, workflow automation)
- Excellent written and verbal communication skills, with the ability to clearly communicate with both technical and non-technical audiences
- Ability to consider problems from first principles, combining critical thinking with domain knowledge to navigate ambiguity
- Ownership mentality: takes the initiative to identify, champion, and execute on the highest impact work
As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through.
