Gusto, Inc. - Staff Data Scientist
Requirements
• 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. • 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. • 2-3 days • 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.
Responsibilities
• Lead: Own ambiguous problems, design analysis frameworks, and introduce structure that scales across multiple product domains. • Lead: • 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. • Strategic Partnership: • Analytical Rigor: Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to surface drivers of product performance, separating signal from noise. • Analytical Rigor: • Experimentation & Measurement: Design, analyze, and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality. • Experimentation & Measurement: • Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines. • Execution: • Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company. • Communication: • Independence: Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders. • Independence: • 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. • Scaling the Craft:
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