Description
Gusto is seeking a highly skilled Staff Data Scientist to leverage experimentation, statistical inference, and causal analysis to drive strategic decision making. The ideal candidate is a trusted data storyteller with strong statistical and coding skills.
Responsibilities:
- Lead ambiguous problems and design analysis frameworks
- Collaborate with product managers, engineering leads, designers, and operations teams to guide data-informed decision-making
- Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics
- Design, analyze, and interpret experiments
- Deliver multiple high-impact projects
- Present complex findings in a structured, compelling way
- Mentor other data practitioners and raise the bar for data science craft
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
- Excellent communication skills
- Demonstrated experience leading large, technically complex projects
- Passion for mentoring others and raising the bar for data science craft
- BS/MS/PhD in a quantitative field or equivalent industry experience
Benefits:
- Competitive base pay
- Benefits
- Equity (RSUs)
Salary:
- $154,000/yr - $181,000/yr in Denver
- $175,000/yr - $225,000/yr in San Francisco and New York
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/gusto/jobs/7524662