Why This Job is Featured on The SaaS Jobs
This Staff Data Scientist role sits squarely in the product analytics spine of a mature SaaS business, where experimentation and causal methods are used to shape decisions rather than simply report outcomes. The remit spans core monetizable domains like Payroll, Benefits, and HR, which tend to generate high-volume behavioral and operational data and demand careful measurement to avoid false signals. The emphasis on statistical inference and “trusted data storytelling” signals a function designed to influence product direction across multiple stakeholders.
From a SaaS career perspective, the role builds durable strengths in metric design, experiment strategy, and translating ambiguous product questions into analytical frameworks that scale. Working across Product, Engineering, Design, Finance, and other Data teams is the kind of cross-functional exposure that typically defines senior data science impact in subscription software, where retention, activation, and operational reliability all compete for attention. The mention of AI-assisted practices also points to modernizing analytical workflows without replacing rigor.
This position best fits a senior practitioner who prefers ownership over well-scoped tickets and is comfortable operating as a strategic partner. It will suit someone motivated by deep domain immersion, careful trade-off communication, and mentoring as part of elevating data craft across a product organization.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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.
