About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal 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. 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: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high-leverage opportunities, set long-term measurement and experimentation direction, and align executive stakeholders around data-driven priorities. Execution Excellence: Drive and execute on org-level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org-wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data-informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI-assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here’s what we're looking for: 10+ years of experience in Data Science at a product-focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. 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 $170,000/yr - $210,000/yr in Denver, $185,000/yr - $225,000/yr in Los Angeles, $200,000/yr - $240,000 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. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

• Architect and implement scalable RAG systems using Python and modern GenAI tools • Build custom pipelines for document ingestion, chunking strategies, and embedding generation • Have a deep knowledge in using AI augmented tools like GitHub Copilot • Evaluate and implement different embedding models and chunking strategies • Create and optimize indexing strategies for performance and accuracy • Work with Azure AI Services, particularly Azure Cognitive Search and OpenAI integration, to deploy end-to-end AI applications • Collaborate closely with cross-functional teams including data engineers, product managers, and domain experts • Conduct AI enablement sessions, workshops, and hands-on labs to upskill internal teams on GenAI usage and best practices • Participate in code reviews, contribute to best practices, and ensure the reliability, scalability, and maintainability of AI systems

• Lead the development and preparation of quarterly business reviews • Deliver monthly financial and non-financial performance metrics • Partner with cross-functional teams to track and analyze KPIs • Build pricing models, proformas, and business cases for new investments • Utilize BI tools to surface trends and assess business performance • Maintain staffing plans and productivity forecasts • Prepare competitive and market analyses for strategic recommendations • Present findings and recommendations to senior leadership

• Design, develop, and implement data architecture solutions to support business intelligence, analytics, and operational data needs • Build and optimize scalable data pipelines using Snowflake and middleware platforms, ensuring robust data integration and efficient storage solutions • Manage secure data transfers using SFTP protocols while ensuring compliance with company and industry data protection standards • Implement and enforce data governance policies, ensuring data accuracy, consistency, security, and compliance with regulatory requirements • Develop and maintain data controls to ensure the integrity and reliability of data across systems and workflows • Collaborate with cross-functional teams to gather and understand data requirements, translating them into actionable technical solutions • Lead project management efforts for data-related initiatives, including project planning, timeline management, and stakeholder communication • Coordinate with business and IT teams to ensure smooth project delivery, addressing risks and dependencies proactively • Analyze and resolve data-related technical issues, ensuring system performance and scalability • Create and maintain comprehensive documentation for data architecture designs, processes, governance policies, and integrations