Data Science Manager II, Digital Partnerships

Root Insurance
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$210,000.0 - $275,000.0
Working hours
Regular working hours
Job source

Tech stack

Machine Learning Information Technology

Job description

Root is seeking a Data Science Manager II to lead data science in relation to our Digital Partnerships business. This team owns the performance of Root’s digital rated aggregator partnerships, a rapidly evolving channel that sits at the intersection of customer acquisition, pricing, underwriting, product development, and partner strategy.

In this role, you will own the quantitative strategy and performance of a multi-million-dollar business while leading a team of data scientists and cross-functional partners. You will work directly with cross-functional leaders to identify growth opportunities, improve acquisition economics, and shape long-term strategy.

The ideal candidate combines strong quantitative instincts with business judgment, thrives in ambiguous environments, and is motivated by turning analysis into measurable business outcomes.

Salary Range: $210,000 - $275,000 (Eligible for competitive bonus and equity offering)

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. We will continue to have our headquarters in Columbus, Ohio.

How You Will Make an Impact

  • Own the performance, growth, and profitability of Root’s digital partnerships portfolio.
  • Lead a team of quantitative scientists responsible for experimentation, forecasting, optimization, and partner performance management.
  • Develop strategies that improve customer acquisition economics through pricing, underwriting, partner integrations, and commercial levers.
  • Build rigorous measurement frameworks that quantify incrementality, partner value, and business impact.
  • Partner with Business Development, Product, Engineering, Pricing, Underwriting, and Finance to identify and execute high-impact opportunities.
  • Influence product and technical roadmaps to improve partner performance and operational scalability.
  • Deliver executive-level reporting, forecasts, and strategic recommendations to senior leadership.
  • Establish scalable operating processes that enable sustainable growth across the channel.

Requirements

  • Advanced degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative discipline.
  • 7+ years of experience applying quantitative methods to complex business problems.
  • 2+ years of people leadership experience, including managing and developing technical talent.
  • Demonstrated ability to translate ambiguous business challenges into analytical frameworks, strategic recommendations, and measurable outcomes.
  • Experience leading experimentation, forecasting, optimization, or machine learning initiatives in production environments.
  • Strong business judgment and comfort making decisions under uncertainty.
  • Excellent written and verbal communication skills, including experience influencing senior stakeholders.
  • Strong ownership mindset with a track record of driving initiatives from concept through execution.

Nice to Have

  • Experience owning or influencing P&L outcomes.
  • Experience in insurance, financial services, marketplaces, or customer acquisition.
  • Familiarity with attribution, incrementality measurement, or partner optimization.
  • Experience working closely with pricing, underwriting, or risk management organizations.
  • PhD in a quantitative discipline.

About the company

Root was founded on the belief that car insurance is broken, and we set out to change it. We’re harnessing the power of technology to revolutionize this archaic, complicated industry. Using machine learning and mobile telematic platforms, we’ve built one of the most innovative insurtech companies in the world.

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