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Data Science Manager II, Digital Partnerships

Role overview

Qualifications

  • 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.

Responsibilities

  • 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.
  • Establish scalable operating processes that enable sustainable growth across the channel.

Key facts

Other skills

  • Forecasting
  • Leadership
  • Communication
  • Problem Solving

About the company

Root Inc. logo

Root Inc.

Insurance

Company details

Company typeLarge
IndustryInsurance

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Job description

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.



The Opportunity

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.


What You Will Need to Succeed

  • 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.


As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through.

Please see our Privacy Notice available HERE for more information on how we process your personal data.


Consistent with the Americans with Disabilities Act (ADA) and the Civil Rights Act of 1964, it is the policy of Root to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for Root. The policy regarding requests for reasonable accommodation applies to all aspects of the hiring process. If reasonable accommodation is needed, please contact recruiting@joinroot.com.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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