Role Overview
The Staff Data Scientist will serve as the company-wide scientific and measurement leader, defining how Fetch measures value, reasons about causality, and translates evidence into executive decisions. The role will own core measurement frameworks, architect semantic and metric foundations, and set the scientific quality bar across analytics, experimentation, and strategic modeling.
What You Will Do
The Staff Data Scientist will define Fetch’s MAU × ARPU measurement operating system, establish canonical metrics and semantic standards powering FetchGPT and executive reporting, and deliver strategic models such as marketing mix, elasticity, and incentive sensitivity that directly inform leadership decisions.
Why It Might Be a Fit
The ideal candidate will have 8+ years of experience in data science, economics, statistics, or applied research, including experience operating at Staff or Principal scope on company and/or org-level problems. They will have deep expertise in causal inference, experimental design, and observational analysis, with demonstrated ownership of high-stakes business decisions informed by causal evidence.
Requirements
- 8+ years of experience in data science, economics, statistics, or applied research
- Deep expertise in causal inference, experimental design, and observational analysis
- Experience defining and owning company-level measurement frameworks, canonical metrics, or strategic models used by senior leadership
- Proven ability to influence and support executive decision-making
- Exceptional written and verbal communication skills
- Bachelor’s degree in a quantitative field
Benefits
- Competitive compensation packages including base, equity, and benefits
- Paid time off
- Holidays
- Dental insurance
- Vision insurance
- Health insurance
- Retirement plan
- Learning budget
- Parental leave
- Wellness programs
- Visa/relocation support
- Remote flexibility
To apply for this job please visit jobs.gem.com.
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