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

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.

Senior Data Science Manager, Lifetime Value

Key skills