Risk Data Scientist - Experimentation & AI Insights

Gusto; San Francisco (CA); On-site; USD 186,000 - 230,000; Full time

Job summary

Gusto, a leading payroll and HR platform, seeks a Staff‑level Data Scientist supporting Risk in San Francisco. You will own experimentation, build risk models, and translate insights into strategic actions for product and business decisions.

You will collaborate with Engineering, Product, Design, Operations, Identity and Compliance to define metrics and drive impact. The role combines rigorous analytics with AI‑assisted insights and mentorship of others.

Qualifications

• 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 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.
• A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights.

Responsibilities

• Translate ambiguous stakeholder questions into clear, testable analyses.
• Use sound statistical reasoning and experimentation frameworks to separate signal from noise.
• Build risk models and present recommendations to enhance analyses with Claude Code.
• Design and interpret experiments, define success metrics, and measure impact.
• Tell clear, data-driven stories that connect findings to business strategy.
• Own end-to-end delivery of analyses and metrics for your product area.

Skills

SQL

Python

Risk modeling

Statistical inference

Experiment design

Data storytelling

Leadership

Mentoring

Tools

Claude Code

Job description

Gusto, a leading payroll and HR platform, seeks a Staff‑level Data Scientist supporting Risk in San Francisco. You will own experimentation, build risk models, and translate insights into strategic actions for product and business decisions.

You will collaborate with Engineering, Product, Design, Operations, Identity and Compliance to define metrics and drive impact. The role combines rigorous analytics with AI‑assisted insights and mentorship of others.