Staff Data Scientist – Product

🕒 January 10

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Gusto

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

👥 HR Tech

💳 Fintech

☁️ SaaS

HR Tech • Fintech • SaaS

Gusto is a comprehensive platform that provides payroll, benefits, and human resources solutions for businesses. It simplifies the complexities of payroll by offering automated deductions, direct deposits, tax filing, and compliance with various regulations. Gusto also integrates with other business tools and offers a range of employee benefits including health insurance, 401(k) plans, and more. The platform supports HR functions such as time and attendance tracking, hiring and onboarding, talent management, and performance reviews. Gusto caters to small and medium-sized businesses, including those that manage remote and global teams. It offers specialized solutions for accountants and provides APIs for developers to build payroll functionalities into their platforms. Gusto aims to help businesses run payroll efficiently, manage their teams, and ensure compliance with ease.

📋 Description

• Own ambiguous problems, design analysis frameworks, and introduce structure that scales across multiple product domains. • Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making. • Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to surface drivers of product performance, separating signal from noise. • Design, analyze, and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality. • Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines. • Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company. • Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders. • Mentor other data practitioners, up-level team best practices in experimentation, statistical modeling, and metric interpretation.

🎯 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.

🏖️ Benefits

• Health insurance • 401(k) plans • Paid time off • Flexible work arrangements • Professional development opportunities