Lead Data Scientist, Telematics ML & Data Engineering

Root Insurance; United States; Remote; USD 143,000 - 179,000; Full time

Benefits offered by this job

Competitive bonus

Equity offering

Job summary

Root Insurance is seeking a Lead Data Scientist I to lead telematics pricing and underwriting model development, while also owning data pipelines and production systems. The role balances data science (65%) with data engineering (35%), partnering with Data Science, Data Engineering, Software, Pricing, Actuarial, Product, and Compliance teams to deliver measurable business outcomes.

The role requires advanced quantitative skills, experience deploying ML models, and strong Python/SQL expertise,

Qualifications

• Advanced degree in a quantitative discipline (PhD preferred).
• 5+ years applying advanced quantitative techniques to industry problems.
• Strong modeling, ML, and numerical optimization knowledge.
• Excellent communication and data visualization skills.
• Experience building, validating, and deploying production ML models.

Responsibilities

• Develop and maintain telematics pricing and underwriting models.
• Build and maintain reliable modeling datasets and data pipelines.
• Productionize models and monitor pipeline and system health.
• Collaborate with Product, Pricing, Actuarial, and Compliance teams.

Skills

Statistical modeling

Machine learning

Python

SQL

Data engineering

CI/CD

AWS

Git

Education

PhD preferred

Tools

Git

CI/CD

Cloud (AWS)

Job description

Root Insurance is seeking a Lead Data Scientist I to lead telematics pricing and underwriting model development, while also owning data pipelines and production systems. The role balances data science (65%) with data engineering (35%), partnering with Data Science, Data Engineering, Software, Pricing, Actuarial, Product, and Compliance teams to deliver measurable business outcomes.

The role requires advanced quantitative skills, experience deploying ML models, and strong Python/SQL expertise,