CURRENT ROOT EMPLOYEES - Please apply using the career page in Workday. This career site is for external applicants only.

The Opportunity

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.

As a Lead Data Scientist (DS) within Root’s pricing DS team, you will drive the innovation and end-to-end automation of our pricing pipeline, from data creation to model deployment. In this role, you will regularly engage with members of various departments including Product, Actuarial, State Product Management, and Engineering, as well as the executive team. You will influence your team leader to help shape and prioritize the team’s experimentation roadmap, providing domain-wide thought leadership on pricing model innovation, measurement, and best practices. You will proactively identify new opportunities for expansion and optimization, shepherding solutions from R&D into production.

You will lead by example, leveraging your expertise in R (e.g., tidyverse, data.table) and SQL to query, manipulate, and model data effectively. Experience with H2O and advanced modeling techniques is a strong plus. Your leadership will be essential as we expand aggressively into new markets, requiring you to navigate complex, market-specific regulatory environments while maintaining a cohesive pricing framework. This role demands an ownership mentality, with the ability to independently drive work forward, mentor junior team members, and collaborate on large-scale projects using version control tools such as Git. Join us to push traditional boundaries and set the future direction for pricing models in the industry.

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 to give more flexibility and more choice about how we live and work.

Salary Range: $140,000 - $175,000 (Bonus and LTI Eligible)

How You Will Make an Impact

• Lead the end-to-end automation of our pricing pipeline, from data creation to model deployment, ensuring a seamless integration of all processes.
• Drive innovation in pricing models, pushing traditional boundaries and setting new industry standards.
• Collaborate closely with Product, Actuarial, State Product Management, and Engineering teams to ensure alignment and synergy across departments.
• Influence the strategic direction of the pricing team by shaping and prioritizing the experimentation roadmap.
• Proactively identify and explore new opportunities for pricing model expansion and optimization, particularly in the context of entering new markets.
• Ensure that pricing models and processes comply with complex, market-specific regulatory requirements while maintaining a cohesive and automated pricing framework.
• Mentor and up-skill more junior team members, fostering a collaborative and growth-oriented team culture.
• Lead large-scale data science projects, ensuring the application of best practices in version control and project management.

What You Will Need to Succeed

• Advanced degree in a quantitative discipline (Master’s or PhD preferred) and 5+ years of experience applying advanced quantitative techniques, ideally in the insurance or financial services industry.
• Deep expertise in R (e.g., tidyverse, data.table) and SQL, with the ability to independently query, manipulate, and model data.
• Experience with H2O and other advanced modeling techniques is a strong plus.
• Proven experience in leading the development and deployment of pricing models, with a focus on automation and innovation.
• Strong understanding of the insurance industry, particularly in navigating market-specific regulatory environments.
• Technical proficiency in version control systems such as Git, and experience collaborating on large-scale projects with multiple contributors.
• Experience with AWS (or analogous) utilities, such as EC2 and S3, for scalable data processing and storage.
• Excellent business intelligence and visualization skills, with the ability to effectively communicate insights and technical concepts to both technical and non-technical audiences.
• Ownership mentality, with a demonstrated ability to take initiative, drive work forward, and mentor others.
• Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders and influence strategic decisions.

Don’t meet every single requirement?

Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Root, Inc., we are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway!

Join us

At Root, we judge people based on the merit of their work, not who they are. If you are passionate about what this role entails and solving real problems, we encourage you to apply. We want to learn about you and what you can add to our team.

Who we are

We’re harnessing the power of technology to revolutionize insurance. Using machine learning and mobile telematic platforms, we’ve built one of the most innovative FinTech companies in the world. And we’re just getting started.

What draws people to Root

Our success is in large part due to our unwavering standards in hiring. We recognize that our products are only as good as the people building and promoting them. We want individuals who find solutions by going through the cycle of ideation to implementation with curiosity, rigor, and an analytical lens. Ask anyone who works here and you’ll hear similar reasons for why they joined:

Autonomy—for assertive self-starters, the opportunities to contribute are limitless.

Impact—by challenging the way it’s always been done, we solve problems that have a big impact on our business.

Collaboration—we encourage rich discussion and civil debate at every turn.

People—we are inspired by the collection of crazy-smart people around us.