Staff Data Scientist - Time Products

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, 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.

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, 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.

Compensation

Our cash compensation amount for this role is targeted at $154,000/yr - $181,000/yr in Denver, $168,000/yr - $198,000/yr in Los Angeles, $186,000/yr - $225,000 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.

Work Environment

Employees based in Denver, San Francisco, and New York City are expected to work from the office 2–3 days per week (or more depending on role). Hybrid employees must maintain a secure, reliable internet connection for non‑office days. The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Equal Opportunity

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. 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.