Senior Data Science Manager - Lifetime Value

Description: • Drive Root's strategic approach to modeling customer value throughout the entire customer lifecycle • Deliver forecasting, scenario modeling, and analytical insights that influence key business decisions • Lead the development of a centralized framework to forecast and simulate how business decisions impact customer lifetime value • Bring together data, experimentation, and business context to improve customer understanding and drive better decisions • 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 Requirements: • Advanced degree in a quantitative discipline (PhD preferred) • 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 Benefits: Apply tot his job