At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
Meet Fetch AI & Data
AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.
Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. 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.
Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows.
About the role
Fetch is at a critical inflection point in how data and science inform the company's most important decisions. With millions of monthly active users, rich item-level purchase data, and increasing investment in AI-driven products like FetchGPT, Fetch has an opportunity to establish a rigorous, scalable measurement and causal reasoning foundation that powers pricing, incentives, growth, marketing investment, and financial planning.
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. You will define how Fetch measures value, reasons about causality, and translates evidence into executive decisions. You will own core measurement frameworks, architect semantic and metric foundations, and set the scientific quality bar across analytics, experimentation, and strategic modeling.
Within your first year, you 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.
What You'll Do at Fetch
Company Measurement and Causal Strategy
Define and own Fetch's company-level measurement framework anchored in MAU × ARPU.
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.
Semantic and Data Architecture
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.
Scientific Governance and Experimentation
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.
Strategic Modeling Ownership
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.
Org-Wide Scientific Leadership
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.
Technical Excellence
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.
Minimum Qualifications
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.
Preferred Qualifications
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 in ads ranking, relevance, retrieval, recommendation, or personalization systems.
Experience in ad measurement, attribution, incrementality, experimentation, or optimization.
Core ads product/platform experience - building or scaling systems that determine which ads are shown, how they perform, or how that performance is measured.
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 or any Canadian province (excluding Quebec), subject to appropriate work authorization. Canadian employment, if applicable, would be through Fetch’s Canadian Employer of Record.
Benefits for Canada-based employees may differ slightly to comply with applicable law(s) (e.g., paid time off, Holidays, etc.).
Fetch may use technology tools that incorporate artificial intelligence ("AI") capabilities to support certain activities within our recruiting and hiring process:
Reviewing and organizing applications and resumes to help our recruiting team manage high volumes of submissions, including automated review of fraud signals to identify bad actors;
Identifying candidates whose stated qualifications and experience appear relevant to an open position;
Scheduling and coordinating interviews with candidates;
Generating interview summaries or notes to assist recruiters and hiring managers in their review; and
Conducting research on open roles and candidate pools to improve the effectiveness of our recruiting practices.
Fetch does not use AI tools to make hiring decisions. All decisions regarding whether to advance a candidate, extend an offer, or decline an application are made by Fetch employees, who are predominantly members of our Talent Acquisition team and relevant Hiring Managers. AI tools serve only to assist the process of recruiting talent and to inform the human review of candidate information. In no way does Fetch allow AI systems to make, finalize, or override any employment decision.
Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:
Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
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. (Holidays will vary for Canada-based roles)
Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, 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 for US-based roles. 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)
Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com.
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Req ID: FET-CNDA3
