Lead Data Scientist, Telematics

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.

We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.

Root is seeking a Lead Data Scientist I to support the Telematics Data Science team. This is a hands‑on role focused primarily on developing and maintaining telematics pricing and underwriting models, with a significant secondary responsibility for the data engineering and production systems that support those models.

The role is expected to spend approximately 65% of its time on Data Science and 35% on Data Engineering. Data Science responsibilities include problem definition, dataset development, feature engineering, statistical modeling, model evaluation, stakeholder validation, regulatory support, and post‑deployment monitoring.

Data Engineering responsibilities include building and maintaining reliable modeling datasets, improving data pipelines and transformations, validating data quality and lineage, product ionizing models, troubleshooting pipeline and system issues, and improving the reliability and maintainability of the Telematics data ecosystem.

This role requires someone who can work across the full lifecycle of a telematics model—from raw data ingestion through model development, production deployment, monitoring, and ongoing operational support. The successful candidate will partner closely with Data Science, Data Engineering, Software Engineering, Pricing, Actuarial, Product, and Compliance teams to deliver reliable and measurable business outcomes.

$142,800 - $178,500 (Eligible for competitive bonus and equity offering)

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.

• Strong knowledge of statistical modeling and machine learning methods, including GLMs, tree-based models, time-series analysis, feature engineering, model evaluation, resampling, and hyperparameter tuning.
• Familiarity with advanced methods such as neural networks, survival analysis, causal inference, or Bayesian modeling is preferred but not required.

• Demonstrated experience building and maintaining production-quality data pipelines, modeling datasets, and data transformations.
• Strong programming skills in Python and SQL, including the ability to write, test, review, and maintain production code.
• Experience with version control, automated testing, code review, CI/CD, and cloud-based data or machine learning systems.
• Experience validating data quality, lineage, completeness, consistency, and schema stability.
• Ability to troubleshoot issues across data, application, pipeline, and infrastructure layers.
• Experience deploying, monitoring, and maintaining production machine learning models.

• Work closely with Product Management, Pricing and Actuarial teams to ensure alignment and integration between Data science models and Product/Pricing considerations

• Lead innovation by introducing new statistical algorithms and modeling techniques.
• Prototype, test, retest and scale approaches.
• Adopt and refine modeling best…