Senior Data Science Manager - Lifetime Value

April 15

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Root Inc.

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Root Inc. is an innovative car insurance company that utilizes mobile technology to offer personalized insurance rates based on individual driving behavior. The company operates through its app, which collects driving data via smartphone sensors, enabling it to provide more accurate and often cheaper auto insurance quotes for good drivers. Customers can manage their policies, file claims, and even earn rewards through the app, making it a convenient choice for users. Root Inc. emphasizes savings for safe drivers and provides additional features such as roadside assistance. Their services are available in various states across the U. S. , although some limitations apply depending on location.

Car Insurance • Mobile App • Technology • Automotive Telematics • Insurance

1001 - 5000 employees

Founded 2015

💳 Fintech

👥 B2C

📋 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