Data Scientist (Risk)

• As a Data Scientist supporting Risk, 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
• In this role you’ll be working with an established team and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance
• You’ll define and track metrics that help us understand our business performance, and dive deep into our risk stack 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
• Partner and Execute: Translate ambiguous stakeholder questions into clear, testable analyses. Structure complex business problems, identify drivers of performance, and communicate actionable insights to influence product or business decisions
• Analytical Depth: Use sound statistical reasoning and experimentation frameworks to separate signal from noise. Select appropriate analytical techniques that balance rigor and speed, and leverage AI-assisted analytics to surface drivers of product performance, separating signal from noise
• Experimentation & Measurement: Design and interpret experiments within your domain. Work with stakeholders to define success metrics, measure impact, and communicate trade-offs
• Communication: Tell clear, data-driven stories that connect findings to business strategy. Adapt communication for technical and non-technical audiences
• Execution: Own end-to-end delivery of analyses and metrics for your product area. Collaborate with cross-functional peers to scope, prioritize, and deliver insights that inform decisions

Benefits

• Gender-affirming care and support
• Family care and support, including family planning and fertility benefits
• A variety of mental health resources
• Medical, dental, and vision insurance for employees and dependents
• Free meals and refreshments at the office (conversation and community is an added bonus!)
• Paid vacation, sick time, bereavement, and holidays, paid leaves, sabbatical, and more- 7-10 years of experience in Data Science at a product-focused software company
• Proven ability to apply statistical methods, causal inference, and experimental design to real business problems
• Strong SQL skills and comfort with Python
• Experience with Risk DS and risk modeling is strongly preferred
• Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership
• Demonstrated experience leading technically complex projects with clear business impact
• Passion for mentoring others and raising the bar for data science craft across the team
• A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights
• 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