Data Scientist II, Digital Partnerships

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Root Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🚘 Automotive

💼 Consulting

🛡️ Insurance

💰 $200M Post IPO debt on 2024-11

Automotive • Consulting • Insurance

Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.

📋 Description

• 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 for strategic planning and investment decisions • Build measurement frameworks quantifying partner value, incrementality, and business impact • Investigate anomalies, monitor performance trends, and provide actionable recommendations • Communicate insights and recommendations to technical and non-technical audiences • Establish scalable analytical processes that improve decision-making across the digital partnerships business • Work closely with cross-functional leaders to solve complex problems and deliver measurable business impact

🎯 Requirements

• 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 • All candidates must be on camera for virtual interviews • 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 • Work in whatever location works best across the US • Reasonable accommodation throughout the hiring process