Staff Data Scientist Product

About Gusto

At Gusto were on a mission to grow the small business economy. We handle the hard stufflike payroll health insurance 401(k)s and HRso owners can focus on their craft and customers. With teams in Denver San Francisco and New York were proud to support more than 400000 small businesses across the country and were building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.

About the Role:

Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (7 years) applying their expertise in a business environment. As a Staff Data Scientist you will play a crucial role in leveraging experimentation statistical inference and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills and a passion for applying these skills to help small businesses thrive.

About the Team:

In this role you will work closely with our Product Engineering Design Finance and other Data teams to become an expert in the data for your domain define and track metrics that help us understand our business performance and dive deep into our Payroll Benefits and HR data to deliver insights and answer questions. Youll also integrate AI-assisted practices to accelerate analysis enhance rigor and expand the reach of insights across Gusto. We have multiple senior roles open each focused on a different area of our business.

Heres what youll do day-to-day:

• Lead: Own ambiguous problems design analysis frameworks and introduce structure that scales across multiple product domains.
• Strategic Partnership: Collaborate with product managers engineering leads designers and operations teams to proactively identify opportunities align on strategy and guide data-informed decision-making.
• Analytical Rigor: Apply advanced statistical methods causal inference experimentation and AI-assisted analytics to surface drivers of product performance separating signal from noise.
• Experimentation & Measurement: Design analyze and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality.
• Execution: Deliver multiple high-impact projects balancing trade-offs to maximize business value and maintain clear expectations of deliverables and timelines.
• Communication: Present complex findings in a structured compelling way to technical and non-technical stakeholders fostering a data-informed mindset across the company.
• Independence: Work with minimal guidance to prioritize create and deliver data science roadmaps proactively resolving conflicts or misalignment across stakeholders.
• Scaling the Craft: Mentor other data practitioners up-level team best practices in experimentation statistical modeling and metric interpretation. Drive improvements in data quality rigor and adoption of better data capabilities leveraging AI-native tools and workflows across the org.

Heres what were looking for:

• 710 years of experience in Data Science at a product-focused software company.
• Strong SQL skills and comfort with Python
• Proven ability to apply statistical methods causal inference AI tools and experimental design to real business problems.
• 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.
• A proactive resilient problem-solver who independently structures ambiguous problems into actionable insights.
• Passion for mentoring others and raising the bar for data science craft across the team.
• BS/MS/PhD in a quantitative field (Statistics Economics Computer Science Applied Math etc.) or equivalent industry experience.

Our cash compensation amount for this role is targeted at $154000/yr - $181000/yr in Denver $168000/yr - $198000/yr in Los Angeles $186000/yr - $225000 for San Francisco Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver San Francisco and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles Gustos subsidiary whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office a secure reliable and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds not just because its the right thing to do but because it makes our company stronger. If you share our values and our enthusiasm for small businesses you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race color religion national origin age sex (including pregnancy childbirth or related medical conditions) marital status ancestry physical or mental disability genetic information veteran status gender identity or expression sexual orientation or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories consistent with applicable federal state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey please fill out this form and a member of our team will get in touch with you.

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