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 Scientist II to join our Digital Partnerships team. 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 help optimize the economics and performance of Root's digital partnerships business. You will design experiments, develop forecasts, analyze partner performance, identify growth opportunities, and help shape the strategies that drive acquisition and profitability. You will work closely with cross-functional leaders to solve complex problems and deliver measurable business impact.
The ideal candidate is intellectually curious, analytically rigorous, and motivated by applying quantitative methods to real-world business decisions.
Salary Range: $119,00 - 148,700 (Bonus & Equity Eligible)
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
- Analyze partner performance and identify opportunities to improve growth, profitability, and customer acquisition economics.
- Design and evaluate experiments that improve partner performance, conversion, and business outcomes.
- Develop forecasts, performance models, and decision-support tools that inform strategic planning and investment decisions.
- Build measurement frameworks that quantify partner value, incrementality, and business impact.
- Investigate anomalies, monitor performance trends, and provide actionable recommendations to stakeholders.
- Communicate insights and recommendations to both technical and non-technical audiences.
- Help establish scalable analytical processes that improve decision-making across the digital partnerships business.
What You Will Need to Succeed
- Advanced degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative discipline.
- 3+ years of experience applying quantitative methods to business problems.
- Strong foundation in statistics, experimentation, causal inference, forecasting, or machine learning.
- Proficiency in SQL and Python for data analysis and modeling.
- Ability to translate ambiguous business questions into analytical frameworks and actionable recommendations.
- Strong written and verbal communication skills.
- Ability to work effectively with cross-functional stakeholders.
- Demonstrated ownership and a track record of driving work from problem definition through implementation.
Nice to Have
- Experience in insurance, financial services, marketplaces, or customer acquisition.
- Familiarity with attribution, incrementality measurement, forecasting, or optimization problems.
- Experience working with pricing, underwriting, risk, or marketing organizations.
- Experience deploying statistical or machine learning models into production environments.
- PhD or Master's degree 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 [email protected].
Skills Required
- Advanced degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative discipline
- 3+ years of experience applying quantitative methods to business problems
- Strong foundation in statistics, experimentation, causal inference, forecasting, or machine learning
- Proficiency in SQL and Python for data analysis and modeling
- Ability to translate ambiguous business questions into analytical frameworks and actionable recommendations
- Strong written and verbal communication skills
- Ability to work effectively with cross-functional stakeholders
- Demonstrated ownership and ability to drive work from problem definition through implementation
- Experience in insurance, financial services, marketplaces, or customer acquisition
- Familiarity with attribution, incrementality measurement, forecasting, or optimization problems
- Experience working with pricing, underwriting, risk, or marketing organizations
- Experience deploying statistical or machine learning models into production environments
- PhD or Master's degree in a quantitative discipline
What We Do
At Root, we’re doing things differently. We’re reimagining the services people need so that they serve them better. And we’re doing it by using data, technology, and rapid innovation to create products and experiences that are fair, easy, personal, and affordable. We’ve partnered with Carvana in a partnership that brings an industry-leading, seamless insurance process to the online car buying experience. The launch of Carvana Insurance Built with Root delivers an elevated customer experience made possible through a deep integration that pre-fills key customer information so that a customer can skip data entry and jump directly to evaluating quotes and customizing coverage. This fully embedded product experience—from quote to payment—happens entirely within the Carvana checkout process. Teams from both Carvana and Root have worked for months to build this bold technology platform. An early iteration involved 24 screens in the customer experience flow—that experience is now just three straightforward steps.
Why Work With Us
Our success is because of the hard work, ingenuity, and exceptional performance of our team. People come to Root because they know they can make an impact in their role, the company, and the industry. We’re passionate and curious self-starters, building a top-notch customer experience. Sound like something you’d like to be a part of?
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