Gusto Growth Data Science Leader at Gusto managing a data science and analytics team supporting Growth product initiatives. The role involves shaping product and business strategy through data and AI, and developing measurement frameworks.
Responsibilities
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.
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 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.
Influence senior leadership – communicate insights and recommendations clearly, framing trade-offs and shaping executive decision-making.
Here’s what we're looking for:
10+ years of experience in data science or related fields, with at least 4 years managing and scaling high-performing data science teams.
