Senior Data Science Manager, Digital Partnerships

OhioX; Columbus (OH); On-site; USD 210,000 - 275,000; Full time

Job summary

Root is seeking a Data Science Manager II for Digital Partnerships to lead data science initiatives at the intersection of customer acquisition, pricing, underwriting, and partner strategy. You will own the quantitative strategy for a multi‑million‑dollar business while guiding a team of data scientists and cross‑functional partners.

The ideal candidate combines strong quantitative instincts with business judgment and can translate analysis into measurable outcomes.

Qualifications

• Advanced degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative discipline.
• 7+ years of experience applying quantitative methods to complex business problems.
• 2+ years of people leadership experience, including managing and developing technical talent.

Responsibilities

• Own the performance, growth, and profitability of Root's digital partnerships portfolio.
• Lead a team of quantitative scientists responsible for experimentation, forecasting, optimization, and partner performance management.
• Develop strategies that improve customer acquisition economics through pricing, underwriting, partner integrations, and commercial levers.
• Build rigorous measurement frameworks that quantify incrementality, partner value, and business impact.
• Partner with Business Development, Product, Engineering, Pricing, Underwriting, and Finance to identify and execute high-impact opportunities.
• Influence product and technical roadmaps to improve partner performance and operational scalability.

Skills

Leadership

Quantitative analysis

Experimentation

Forecasting

Communication

Strategic thinking

Education

Advanced degree in a quantitative field

Tools

Python

SQL

ML frameworks

A/B testing

Job description

Root is seeking a Data Science Manager II for Digital Partnerships to lead data science initiatives at the intersection of customer acquisition, pricing, underwriting, and partner strategy. You will own the quantitative strategy for a multi‑million‑dollar business while guiding a team of data scientists and cross‑functional partners.

The ideal candidate combines strong quantitative instincts with business judgment and can translate analysis into measurable outcomes.