Who you are

- 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 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

What the job involves





- 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

- 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

Benefits

- Equity: Hop on the rocketship and have your own stake in Fetch's success with generous equity.

- 401k Match: Fetch matches 100% of the first 4% of your 401(k) contribution.

- People Benefits: Enjoy a competitive suite of ebenfits to promote health for you and your family,. Medical, Dental, and Vision insurance.

Flexible Spending

Accounts & Health Savings Account, with automatic employer HSA contributions per pay period. Family forming benefit with $10k lifetime stipend.

- Pet Benefits: We know your furry friends are family, too. Pet insurance is fully covered for your first pet.

- Continuing Education: Fetch provides $10,000+/year in education reimbursement support for job-related courses or programs.

- Flexible Paid Time Off: At Fetch, you'll plan your time off as you see fit with our flexible PTO policy. On top of our flexible PTO, Fetch observes 9 paid holidays as well as a year-end-week-long break.

- Robust Leave Policies: Fetch offers generous leave time for health and personal needs, including 20 weeks of parental leave for primary caregivers and 14 weeks for secondary caregivers + $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!

- Flexible Work Setting: Experience our beautiful work spaces, or get things done from the comfort of your couch. Choose what's best for each day.

📌 Staff Data Scientist (Canada)
🏢 Fetch
📍 Canada