Growth Data Science Leader

About Gusto

At Gusto, we're 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 ourTotal 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:

Gusto is looking for an experienced, hands-on people manager to lead a data science and analytics team supporting Growth product initiatives. This role sits at the heart of how we use data — and increasingly AI — to understand, shape, and scale Gusto's products. You’ll both manage a team of data scientists and analysts as well as personally get in-the-weeds to work closely with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights and frameworks that inform strategy, optimize user experiences, and accelerate business growth.

We're looking for a leader who can balance strategic influence with hands-on craft — someone who can guide senior Gusto leaders through data and AI strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

This role is the equivalent to a Senior Manager/Director-level role.

Here’s what you’ll do day-to-day:

• Lead and develop a team of data scientists – hire, empower, and coach team members; set a high bar for analytical quality and career growth.
• Shape product and business strategy through data – partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence long-term product roadmaps.
• Develop and scale measurement frameworks – define key metrics, design monitoring systems, and ensure product initiatives — including AI-powered features — are rigorously tracked and evaluated.
• Support experimentation and decision-making – support inferential analyses and experimentation (e.g., A/B tests, segmentation, funnel analysis), including desig