Growth Data Science Leader
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Role Overview
Gusto is seeking an experienced, hands-on people manager to lead a data science and analytics team supporting Growth product initiatives.
The role partners with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights and frameworks that inform strategy, improve user experiences, and accelerate growth.
The leader will guide senior stakeholders on data and AI strategy, coach data scientists, and personally contribute to statistically rigorous analysis.
This role is described as equivalent to a Senior Manager or Director-level role.
Key Skills for This Role
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About Gusto
Gusto provides payroll, health insurance, retirement, and human resources services for more than 500,000 small businesses.
Gusto operates teams and physical offices in Denver, San Francisco, and New York.
About the Role
Gusto is seeking an experienced, hands-on people manager to lead a data science and analytics team supporting Growth product initiatives.
The role partners with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights and frameworks that inform strategy, improve user experiences, and accelerate growth.
The leader will guide senior stakeholders on data and AI strategy, coach data scientists, and personally contribute to statistically rigorous analysis.
This role is described as equivalent to a Senior Manager or Director-level role.
Day-to-Day Responsibilities
- Lead, hire, empower, and coach a team of data scientists while setting standards for analytical quality and career growth.
- Partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence product roadmaps.
- Define key metrics and develop monitoring systems to rigorously evaluate product initiatives, including AI-powered features.
- Support A/B tests, segmentation, funnel analysis, inferential analyses, and evaluations for AI and machine learning systems.
- Collaborate with ML Engineering and Product on personalization, prediction, and intelligent automation features.
- Review analyses for technical rigor and business relevance.
- Present insights and recommendations to senior leadership and shape executive decision-making.
Required Qualifications
- 10+ years of experience in data science or related fields.
- At least 4 years managing and scaling high-performing data science teams.
- Deep expertise in product analytics across acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments.
- Advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks.
- Experience with data science and AI product development, including model behavior, evaluation design, and customer-facing AI trade-offs.
- Ability to connect analytical insights to product and business goals and influence roadmaps.
- Experience presenting complex findings to senior stakeholders as clear, actionable recommendations.
- Experience collaborating with Product, Engineering, and go-to-market teams.
- Hands-on machine learning application experience in product contexts is strongly preferred.
- Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable.
Compensation
- Targeted cash compensation is $185,000-$217,000 in Denver and $218,000-$255,000 in San Francisco and New York.
- Final offer amounts may vary based on candidate experience and expertise.
Workplace Expectations
- Employees based in Gusto office locations are expected to work from the office on designated days approximately 2-3 days per week, or more depending on the role.
- When approved to work outside a Gusto office, employees must maintain a secure, reliable, and consistent internet connection.
- The San Francisco office expectation includes the San Francisco and San Jose metropolitan areas.
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