Fetch
Staff Data Scientist
USA · Staff+ · Full-time
Sponsorship not specifiedDetected 17 hours ago
PythonSQLSnowflakeMachine LearningdbtData EngineeringData ScienceStatisticsA/B TestingForecastingResearchExperimental DesignLeadershipCommunicationPublic Speaking
About the role
- Fetch is at a critical inflection point in how data and science inform the company's most important decisions.
- We are seeking a Staff Data Scientist to serve as the company-wide scientific and measurement leader.
- This role goes beyond traditional analytics or domain ownership.
Responsibilities
- Define and own Fetch's company-level measurement framework anchored in MAU × ARPU.
- Own the scientific capability roadmap including elasticity, value curves, MMM, and forecasting.
- Partner with Analytics Engineering and Data Platform to build foundational data assets.
- Set scientific rules for experimentation and validate high-risk tests such as pricing and incentives.
Requirements
- 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.
- Experience defining and owning company-level measurement frameworks, canonical metrics, or strategic models used by senior leadership.
- Exceptional written and verbal communication skills, with the ability to explain complex causal and modeling concepts to non-technical senior audiences.
- Bachelor's degree in a quantitative field.
- Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use.
Nice to have
- Advanced degree in a quantitative discipline.
- Hands-on experience owning and maintaining strategic models such as marketing mix models, elasticity estimates, incentive sensitivity, or long-range forecasts used in executive planning.
- Experience in large-scale consumer products, marketplaces, ad-supported platforms, or incentive-driven systems with complex value trade-offs.
- Experience defining semantic layers, metric governance, or data contracts at scale across multiple teams or functions.
- Demonstrated track record of org-wide scientific leadership without direct people management, including setting standards, reviewing work, and raising the technical bar across teams.
- This is a full-time role that can be held from one of our US offices or remotely in the United States.
Skills
- Establish decision frameworks for pricing, incentives, and value trade-offs.
Compensation
- At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire.
Benefits
- Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
Company info
- Company Measurement and Causal Strategy.
- Technical Excellence Apply advanced statistical and causal methods to company-level problems.
This listing is sourced directly from Fetch's careers page and normalized into a canonical job model.