Remote Lead Data Scientist, Telematics ML

Root Inc.; Columbus (OH); Hybrid; USD 143,000 - 179,000; Full time

Job summary

Root Inc. is seeking a Lead Data Scientist I to drive telematics pricing and underwriting models as part of a hands-on team. You will develop, deploy, and monitor models while improving data pipelines and production systems.

The role requires deep statistical knowledge, strong Python/SQL skills, and experience with ML in an insurance context. You will collaborate across Data Science, Data Engineering, Product, Pricing, and Compliance to deliver impactful business results.

Qualifications

• Advanced degree in a quantitative discipline (PhD preferred) and/or 5+ years applying advanced quantitative techniques to problems in industry.
• Strong demonstrable knowledge of statistical modeling, machine learning, and numerical optimization.
• Exceptional communicator and storyteller with strong data visualization skills.
• Strong programming skills with experience in SQL and Python.
• Experience deploying, monitoring, and maintaining production machine learning models.

Responsibilities

• Develop telematics pricing and underwriting models and maintain supporting data pipelines.
• Partner with Data Science, Data Engineering, Software Engineering, Pricing, Actuarial, Product, and Compliance teams to deliver measurable outcomes.
• Lead innovation by introducing new statistical algorithms and modeling techniques and scale approaches.
• Ensure regulatory compliance and provide modeling documentation and explainability as needed.

Skills

Statistical modeling

Machine learning

Numerical optimization

Data visualization

Strong communication

Education

PhD preferred

Tools

Python

SQL

Git

AWS

Job description

Root Inc. is seeking a Lead Data Scientist I to drive telematics pricing and underwriting models as part of a hands-on team. You will develop, deploy, and monitor models while improving data pipelines and production systems.

The role requires deep statistical knowledge, strong Python/SQL skills, and experience with ML in an insurance context. You will collaborate across Data Science, Data Engineering, Product, Pricing, and Compliance to deliver impactful business results.