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Palo Alto, California

Head of Data Science, Analytics

Next Insurance is a fast-growing 290+ person startup based in Silicon Valley and is led by a team of experienced entrepreneurs with a history of successful outcomes. Our mission is to transform insurance for small businesses by combining world-class technology and phenomenal customer service to offer better insurance at a lower price. Next has raised over $380 million from top tier investors and is the valley’s latest unicorn, valued at over $1 billion.

Next is well-positioned to become the leader in the $140 billion small business insurance market because we offer a 100% online experience that is tailored to unique business needs and we get customers insured in minutes - something no one else does. Despite the size of the market, the experience of buying small business insurance has not caught up with best practices instituted in other industries like banking, lending, and even personal lines insurance. There is still a lot of paper involved, purchasing a policy can take days or even weeks, and the coverage is so complex that it’s hard for entrepreneurs to understand what they are buying. We're here to change that. Our goal is to make insurance simple, affordable, and transparent for small businesses so they can stop worrying about insurance and focus on running their businesses.

We are looking for a Head of Data Science, Analytics with a passion for building teams and driving business decisions with data. You are excited about building a newly-formed team into a world-class Data Science organization that will be known as a great place to launch careers. You find joy in optimizing the cadences of your organization to enable greater team impact and career growth. You are hungry to drive company strategy as a data-driven partner to executives.

If you want to look back in 4 years, and feel proud of Next re-inventing SMB insurance, knowing that the data-organization you built was pivotal to our success, then you belong here.


Provide strategic influence with cross-functional teams to guide data-driven strategy and roadmaps.

Build strong collaboration between Data Science, Machine Learning, and Data Engineering.

Lay a strong data foundation where cross-functional partners can self-serve through key dashboards and metrics.

Instill and foster a data-driven culture through a clear metric-framework.

Integrate data into our road mapping and execution cadences.

Lead, coach, hire, and mentor a team of skilled Data Scientists.

Communicate effectively to all levels of the organization, including executives.

Desired Skills and Experience:

Experience leading and building high-performing teams in fast-paced environments.

An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc.

Ability to recognize and do strong analytical work in order to mentor team members

A proven track record of influencing business strategy and roadmaps through data, driving strategic initiatives.

Strong data infrastructure thinking and the ability to collaborate well with Data Engineering.

Strong expertise with SQL, Tableau and 1+ programming languages (e.g., R or Python).

Familiarity with experimentation and underlying statistical concepts.

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