Senior Data Science Manager, Lifetime Value

Root Insurance

96d•Remote

About The Position

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.

Requirements

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

Responsibilities

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

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