GTM Analytics Engineer
Lead Growth Data Science efforts at Gusto: drive experimentation, causal analysis, and metric design to optimize customer acquisition, retention, and expansion. Mentor junior scientists and partner with Revenue, Product, and Finance leaders.
Responsibilities
- Shape the analytical strategy for Growth product initiatives; identify high-leverage opportunities, set long-term measurement and experimentation direction, and align executive stakeholders
- Drive and execute on org-level analytical roadmaps that shape company strategy, leveraging AI tools and creating efficiencies through AI-native approaches
- Develop frameworks for experimentation, causal analysis, and metric design that scale across multiple teams
- Serve as a trusted advisor to senior product, engineering, and Revenue business leaders; anticipate emerging questions and proactively define success measures
- Push the boundaries of statistical modeling, experimentation, and AI-assisted analytics; design methods and tools that expand how Gusto leverages data
- Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling
Requirements
- 7–10+ years of experience in Data Science at a product-focused software company
- Strong SQL and Python skills
- Proven ability to apply statistical methods, causal inference, and experimental design to real business problems
- Demonstrated experience leveraging AI tools (e.g., Claude) and executing work in an AI-native way
- Excellent communication skills with a track record of influencing cross-functional stakeholders and leadership
- Demonstrated experience leading large, technically complex projects with clear business impact
- Proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights
- Passion for mentoring others and raising the bar for data science craft
- BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience
Nice-to-Haves
- Experience developing Machine Learning models
Compensation & Benefits
- Cash compensation targeted at $187,000–$230,000 in New York & San Francisco Bay Area
- Stock equity (RSUs) in addition to base pay
- Competitive benefits package for full-time employees
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