Job Description
- 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:
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