Data Scientist, Risk
Gusto is a payroll and HR platform that helps small businesses pay domestic and international employees, manage benefits, and automate compliance.
Projects
About Gusto
Gusto serves small and mid-sized businesses with payroll processing, employee benefits administration, and HR tools in one platform. Users can run payroll, manage health insurance, hire globally, and pay international contractors in local currency or USDC stablecoins. The platform automates payroll tax filings across multiple states and integrates with tools like QuickBooks and Xero.
Skills
About the Role
You will leverage experimentation, statistical inference, and causal analysis to drive strategic decision making as a Data Scientist supporting Risk. You will translate ambiguous stakeholder questions into clear, testable analyses, and structure complex business problems to identify drivers of performance. You will design and interpret experiments, define success metrics, and measure impact. You will build risk models and present recommendations, using Claude Code and AI-assisted analytics to enhance your work. You will tell clear, data-driven stories adapted to technical and non-technical audiences, and own end-to-end delivery of analyses and metrics while collaborating with cross-functional peers in Engineering, Product, Design, Operations, Identity, and Compliance.
Requirements
- 7-10 years of experience in Data Science at a product-focused software company
- Experience with Risk DS and risk modeling
- Strong SQL skills and comfort with Python
- Proven ability to apply statistical methods, causal inference, and experimental design to real business problems
- Excellent communication skills with a track record of influencing cross-functional stakeholders and leadership
- Demonstrated experience leading technically complex projects with clear business impact
- Ability to independently structure ambiguous problems into actionable insights
- Passion for mentoring others and raising the bar for data science craft
Responsibilities
- Translate ambiguous stakeholder questions into clear, testable analyses
- Structure complex business problems and identify drivers of performance
- Communicate actionable insights to influence product and business decisions
- Apply statistical reasoning and experimentation frameworks to separate signal from noise
- Build risk models and present recommendations for process and project enhancements
- Design and interpret experiments and measure impact
- Define and track metrics to understand business performance
- Tell clear, data-driven stories that connect findings to business strategy
- Own end-to-end delivery of analyses and metrics for the product area
- Collaborate with cross-functional peers to scope, prioritize, and deliver insights
- Leverage AI-assisted analytics using Claude Code
Benefits
- Health insurance
- 401(k)
- Equity (RSUs)