Data Science Manager II – Digital Partnerships

Root Inc.

Data Science Manager II at Root, leading data science for digital partnerships. Driving performance, growth, and profitability in a tech-driven insurance company.

Posted 7/28/2026full-timeColumbus • Ohio • 🇺🇸 United StatesSeniorLead💰 $210,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative analysis, strategic decision-making, and team leadership to drive performance and profitability in digital partnerships. Proficient in developing measurement frameworks and executing high-impact initiatives across various business functions.

Highest-signal resume keywords

Quantitative AnalysisPeople LeadershipExperimentation and ForecastingStrategic RecommendationsBusiness Judgment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisOptimization TechniquesMachine LearningData AnalysisForecasting MethodsPricing StrategiesUnderwriting PrinciplesIncrementality MeasurementAnalytical Framework DevelopmentPerformance Management

Soft Skills

Excellent CommunicationInfluencing StakeholdersOwnership MindsetDecision-Making Under UncertaintyTeam Development

Certifications & Qualifications

Advanced Degree in StatisticsAdvanced Degree in EconomicsAdvanced Degree in MathematicsAdvanced Degree in Computer ScienceAdvanced Degree in Engineering

Industry Keywords

Digital PartnershipsCustomer AcquisitionP&L ManagementInsuranceFinancial ServicesMarketplacesRisk ManagementAttributionPartner OptimizationCommercial Levers

About the role

Key responsibilities & 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

What you’ll need

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.

Benefits

Comp & perks

Competitive bonus
Equity offering
Flexible work arrangements