Staff Data Scientist - Product
Gusto•San Francisco, CA - Hybrid; New York, NY - Hybrid;
Full-timeLead
👁️ 0 views•📝 0 applications•Posted 3/28/2026•Expires 9/24/2026
Get alerts for roles like this
More Staff Data Scientist - Product roles in San Francisco, CA - Hybrid; New York, NY - Hybrid; — straight to your inbox. No account needed.
Applying to this role? Tailor your résumé to this job description in one click, then download it clean — no watermark, no subscription.
Job Description
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: <li
Required Skills
Data ScienceHealth InsurancePayrollPayroll ProcessingStatistics
Prepare to Win This Role
Everything you need to ace the interview and negotiate top-of-band compensation.