The opportunity
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.
What you'll do
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 designing evaluations for AI and ML-driven systems, ensuring findings are actionable and aligned to strategic goals.
Partner on AI-powered product development: collaborate with ML Engineering and Product to bring intelligent features to life (personalization, predictions, intelligent automation), ensuring they're grounded in customer insight and measured for real-world impact.
Balance strategic and hands-on impact: dive deep into data, review and refine analyses, and ensure insights are both technically sound and business-relevant.
What they're looking for
- Influence senior leadership: communicate insights and recommendations clearly, framing trade-offs and shaping executive decision-making.
- + years of experience in data science or related fields, with at least 4: years managing and scaling high-performing data science teams.
- Deep expertise in product analytics: experience with user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments.
- Technical fluency: advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks; ability to mentor data scientists on best practices.
