Note: The job is a remote job and is open to candidates in USA. Fetch is a company that operates at the intersection of AI and data to drive business decisions and build intelligent products. They are seeking a Staff Data Scientist to lead company-wide scientific measurement efforts, defining how value is measured and translating evidence into executive decisions. This role involves establishing measurement frameworks, setting standards for evidence quality, and owning strategic modeling efforts that inform leadership decisions.
Responsibilities
- Define and own Fetch’s company-level measurement framework anchored in MAU × ARPU
- Company Measurement and Causal Strategy
- Establish decision frameworks for pricing, incentives, and value trade-offs
- Set standards for evidence quality, uncertainty, and confidence in decision-making
- Define the causal reasoning model used across product, growth, marketing, and finance
- Own the scientific capability roadmap including elasticity, value curves, MMM, and forecasting
- Architect the semantic mart and metric logic powering FetchGPT and scalable insights
- Define canonical metric definitions and unify logic across experimentation platforms, dashboards, and diagnostics
- Partner with Analytics Engineering and Data Platform to build foundational data assets
- Establish BI standards and eliminate redundant or conflicting dashboards
- Serve as the quality bar for high-impact analytics and diagnostics
- Review strategic analyses to ensure correct interpretation and mechanism alignment
- Set scientific rules for experimentation and validate high-risk tests such as pricing and incentives
- Ensure observational and experimental results reconcile cleanly
- Create templates and interpretation guides to standardize rigor
- Own cross-company models that drive executive decisions, including marketing mix modeling, elasticity and incentive sensitivity, value expectation curves, strategic forecasting, and financial mechanism models supporting MAU × ARPU planning
- Raise the scientific maturity of the data science and analytics organization
- Design upskilling programs in statistics, causality, modeling, and storytelling
- Author best-practice modeling libraries and documentation
- Serve as a technical anchor and thought partner for senior ICs across the org
- Establish norms for rigorous, transparent, mechanism-driven insights
- Apply advanced statistical and causal methods to company-level problems
- Build scalable, production-ready analytical frameworks in partnership with engineering
- Champion best practices in experimentation design, model validation, and reproducibility
- Leverage modern analytics tooling such as Python, SQL, Snowflake, dbt, and experimentation platforms
Skills
- 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
- Deep expertise in causal inference, experimental design, and observational analysis, with demonstrated ownership of high-stakes business decisions informed by causal evidence
- 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, including presenting trade-offs, uncertainty, and recommendations that directly impact strategy
- 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
- 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
Benefits
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)
Company Overview
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