Note: The job is a remote job and is open to candidates in USA. Root Inc. is an insurtech company using technology, machine learning, and mobile telematics to transform car insurance. The Data Scientist II will optimize the performance and economics of digital aggregator partnerships by designing experiments, developing forecasts, analyzing partner performance, and providing strategic recommendations. The role collaborates with cross-functional stakeholders to drive customer acquisition, profitability, and measurable business impact.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Bonus eligible
- Equity eligible
- Support working in whatever location works best for you across the US
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