Meet Fetch AI & DataAI & 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. 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. 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 prospect 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. You will own core measurement frameworks, architect semantic and metric foundations, and set the scientific quality bar across analytics, experimentation, and strategic modeling.

Set standards for evidence quality, uncertainty, and confidence in decision‑making. Own the scientific capability roadmap including elasticity, value curves, MMM, and forecasting.



Semantic and Data Architecture 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. Set scientific rules for experimentation and validate high‑risk tests such as pricing and incentives.Org‑Wide Scientific Leadership Raise the scientific maturity of the data science and analytics organization. Serve as a technical anchor and thought partner for senior ICs across the org.

Technical Excellence

Leverage modern analytics tooling such as Python, SQL, Snowflake, dbt, and experimentation platforms. 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. 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.





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. 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.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; Generating interview summaries or notes to assist recruiters and hiring managers in their review; Fetch does not use AI tools to make hiring decisions. 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.

At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire.

📌 Assistant Data-Scientist - Machine Learning H/F (Winnipeg)
🏢 Fetch
📍 Winnipeg