# Staff Data Scientist - Growth + Core Products

**Company**: Gusto
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $154,000/yr - $181,000/yr in Denver, $175,000/yr - $225,000/yr in San Francisco and New York
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/gusto/jobs/7524662?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5be452ba-2cf

## 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

## Skills

### Required
- SQL
- Python
- statistical methods
- causal inference
- AI tools
- experimental design

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/gusto/jobs/7524662?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
