Gusto
Staff Data Scientist - Time Products
San Francisco, CA - Hybrid; New York, NY - Hybrid; · Staff+ · Full-time
Sponsorship not specified$190k-$230kDetected 26 days ago
PythonSQLData ScienceStatisticsA/B TestingRecruitingExperimental DesignCommunicationMentoring
About the role
- Gusto is looking for a highly skilled and motivated Staff Data Scientist to join our Time Products Data Science team.
- You'll also integrate AI-assisted practices to expand the reach and rigor of your analysis across the organization.
- Analytical Rigor: Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to surface drivers of product performance, separating signal from noise.
Responsibilities
- Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.
- Design, analyze, and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality.
- Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
- Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders.
- In this role, you'll leverage experimentation, statistical inference, and causal analysis to drive strategic decisions that shape how small businesses track their employees' time.
- 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.
- 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.
- Independence: Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders.
- With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
Requirements
- 7-10 years of experience in Data Science at a product-focused software company.
Skills
- Strong SQL skills and comfort with Python
- Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
Compensation
- All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success.
Benefits
- We handle the hard stuff - payroll, health insurance, 401(k)s, and HR - so owners can focus on their craft and their customers.
- All full-time employees receive competitive base pay, benefits, and equity (RSUs) - because everyone who helps build Gusto should share in its success.
- Learn more about our Total Rewards philosophy.
Company info
- You'll work closely with Product, Engineering, Design, and Finance partners embedded in our Time product teams - becoming the go-to data expert for your domain, defining and tracking metrics that reflect product health and customer outcomes, and surfacing insights that inform roadmap decisions.
- 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.
- Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.
- 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:
This listing is sourced directly from Gusto's careers page and normalized into a canonical job model.