Y Combinator Staff Data Scientist Time Products
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Summary
Lead data-science projects at Gusto: design experiments, apply causal inference, and mentor teams to shape product decisions in payroll and HR software.
You will use experimentation, statistical inference, and causal analysis to guide product decisions, define metrics, deliver strategic analyses, communicate findings, structure ambiguous problems, and mentor data practitioners while improving data quality and analytical practices.
Responsibilities
- Lead ambiguous data science problems
- Design analysis frameworks
- Partner with product engineering design and operations teams
- Apply statistical methods and causal inference
- Design analyze and interpret experiments
- Deliver high-impact projects
- Present findings to technical and non-technical stakeholders
- Create and deliver data science roadmaps
- Mentor data practitioners
- Improve data quality and analytical capabilities
Requirements
- 7–10 years of data science experience
- SQL
- Python
- Statistical methods
- Causal inference
- AI tools
- Experimental design
- Cross-functional influence
- Complex project leadership
- Quantitative field knowledge
Benefits
- Health insurance
- 401(k)
- Equity (RSUs)