Data Scientist II, Digital Partnerships

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.

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.

• 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.

• 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.

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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].

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.