Staff Data Scientist - Product

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re 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. You’ll 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. Here’s what you’ll do day-to-day:

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

Here’s what we're looking for:

• 7–10 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,

cause inference, AI tools, and experimental design to real business problems.

• Excellent communication skills,

with track record influencing cross-functional stakeholders... leadership.

• Demonstrated experience leading large,

technically complex projects... business impact.

• A proactive,

resilient problem-solver who independently structures ambiguous problems into actionable insights.

• Passion for mentoring others...

rising bar for data science craft across team.

• BS/MS/PhD quantitative field (Statistics,

Economics, Computer Science, Applied Math) or equivalent industry experience. Our cash compensation amount for this role is targeted at $154k-$181k/yr Denver; $168k-$198k/yr Los Angeles; $175k-$225k/yr San Francisco, Seattle, and New York. Final offer amounts determined by multiple factors including candidate experience/expertise may vary from amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees based there expected to work from office approx 2–3 days/week (or more depending on role). same office expectations apply all Symmetry roles (Gusto's subsidiary) physical office Scottsdale. Note: San Francisco office expectations encompass both San Francisco & San Jose metro areas. When approved work from location other than Gusto office, a secure,reliable,and consistent internet connection required.This includes non-office days for hybrid employees.