Head of Data Science

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.

• Lead the Sales Analytics team -- Drive vision for and champion a team of data scientists and analysts to deliver impact across customer acquisition and product expansion sales teams.
• Insights and Recommendations: Conduct deep-dive analyses to identify revenue drivers and anomalies. Translate complex data into clear, actionable insights and recommendations for senior leadership and cross-functional partners.
• Rebuild the data foundation -- alongside Data Engineering and Service Platform partners, drive the evolution of our foundational data systems needed to build a world class sales analytics ecosystem.
• Partner with key stakeholders -- work closely with the Chief Revenue Officer, Sales Operations, Data Engineering, and the Service Platform team to align on a shared data and infrastructure roadmap.
• Evolve forecasting capabilities -- Evolve our sales forecasting methodology to incorporate more rigorous analytics methods (eg propensity scoring, better seasonality controls, etc)
• Enable self-service analytics with AI -- leverage Gusto's move toward AI-first development to create self-service analytics capabilities for operations partners. Stay ahead of emerging AI tools that can drive efficiency and accuracy in revenue analytics.
• Drive team excellence -- Recruit, mentor, and develop a high-performing, proactive analytics team, shifting the culture from reactive query fulfillment toward strategic analysis. As AI handles more of the routine reporting, define what excellence looks like for analysts in a world where causal thinking and statistical fluency are the new baseline.
• Act as connective tissue across the data org -- identify opportunities where deeper technical solutions (e.g., from Data Engineering, Analytics Engineering, Data Science, or AI/ML Engineering) could accelerate revenue-driving analytics, and proactively bring the right partners into the conversation.

• 10+ years of experience in data science or related fields, with at least 4+ years leading a growing analytics team.
• Leadership with a Builder Mindset: A dynamic leader who inspires and develops teams while maintaining a “roll up your sleeves” attitude — able to step into the details when needed to build reports, run analyses, and troubleshoot.
• Statistical and causal inference expertise -- strong command of experimental design, causal reasoning, and quasi-experimental methods (e.g., difference-in-differences, synthetic control, regression discontinuity, propensity score matching) for settings where A/B testing isn't possible. Comfortable navigating the assumptions required to make credible causal claims from observational data, and able to communicate those tradeoffs clearly to non-technical stakeholders.
• Revenue data systems expertise -- deep experience working with sales data systems and infrastructure.

• All full-time employees receive competitive base pay, benefits, and equity (RSUs)
• AI is a fundamental part of how work gets done at Gusto; all team members are expected to actively engage with AI tools relevant to their role