Data Scientist, Risk

About Gusto

At Gusto, were on a mission to grow the small business economy We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers

With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy .

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role

As a Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization

The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.

In this role

you’ll be working with an established team and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance Youll define and track metrics that help us understand our business performance, and dive deep into our risk stack data to deliver insights and answer questions

You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto This role is an equivalent of Staff-level, with an expectation of owning experimentation and building risk models that will have direct impact on business decisions.

This is a San Francisco-based role with expectations to be in office Tuesdays and Wednesdays.

Here’s what you’ll do day-to-day

Partner and Execute: Translate ambiguous stakeholder questions into clear, testable analyses Structure complex business problems, identify drivers of performance, and communicate actionable insights to influence product or business decisions

Analytical Depth: Use sound statistical reasoning and experimentation frameworks to separate signal from noise Select appropriate analytical techniques that balance rigor and speed, and leverage AI-assisted analytics to surface drivers of product performance, separating signal from noise Build M