Lead Data Scientist, Telematics & ML Systems

OhioX; Northern (KY); Remote; USD 143,000 - 179,000; Full time

Job summary

Root is hiring a Lead Data Scientist I to advance telematics pricing and underwriting models. This hands-on role blends data science with data engineering, focusing on model development, evaluation, deployment, and production system support.

You will work across Data Science, Data Engineering, Software, Pricing, Actuarial, and Compliance to deliver measurable business outcomes and robust data pipelines. A strong ML background and production experience are essential.

Qualifications

• Advanced degree in a quantitative discipline (PhD preferred) and/or 5+ years applying quantitative techniques
• Strong knowledge of statistical modeling, machine learning, and numerical optimization
• Exceptional communicator with strong data visualization skills
• Proficient in SQL and Python
• Experience building, validating, and deploying statistical ML models in production
• Familiarity with version control and cloud computing (e.g., AWS)
• Experience deploying, monitoring, and maintaining ML models in production environments

Responsibilities

• Develop and maintain telematics pricing and underwriting models
• Lead data science and data engineering efforts across the lifecycle from ingestion to deployment
• Build and maintain reliable modeling datasets and data pipelines
• Collaborate with product, pricing, actuarial, and compliance teams
• Provide regulatory support and explainability to stakeholders

Skills

Statistical modeling

Machine learning

Python

SQL

Data visualization

Communication

Ownership mindset

Problem framing

AWS

Education

PhD in quantitative field (preferred)

Advanced degree in quantitative discipline

Tools

Git

AWS

Production data pipelines

Job description

Root is hiring a Lead Data Scientist I to advance telematics pricing and underwriting models. This hands-on role blends data science with data engineering, focusing on model development, evaluation, deployment, and production system support.

You will work across Data Science, Data Engineering, Software, Pricing, Actuarial, and Compliance to deliver measurable business outcomes and robust data pipelines. A strong ML background and production experience are essential.