Who you are

- 5+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments

- Experience owning an audience, measurement, or data product from an ambiguous question through delivery and a business decision
- A track record of working regularly with product, engineering, and commercial partners, with the ability to clearly explain both the customer need and your own contribution

- Experience building useful datasets from fragmented, incomplete, or biased sources, and showing how you assessed their validity

- Strong population inference skills, including generalizing from an observed sample to a broader population and checking who’s missing

- Experience building propensity or audience models and validating them against real-world usefulness (population coverage, calibration, and measured outcomes), not just offline accuracy, then using the results to improve the next iteration

- Hands-on causal inference experience, including designing an experiment or observational study you can defend (the comparison, assumptions, diagnostics, and limits) and separating attribution from true incrementality

- Solid SQL, Python, applied statistics, and predictive modeling skills, plus a habit of building reusable, reproducible assets
- The ability to explain scientific findings clearly to nontechnical and customer audiences

- Sound judgment about when to move independently and when to seek review because assumptions or scope have outrun the evidence

- Applied experience in monetization data science, audience development, advertising measurement, market research, or consumer panels, especially where you tied data work to customer or commercial value is strongly preferred

- Experience working with panel, survey, consumer research, or purchase data




- A background in political science, survey methodology, econometrics, demography, or another quantitative field where you built strong datasets with limited resources and made explicit inferences about populations from sparse data

What the job involves

- Independently own a defined audience or measurement product, from problem framing through delivery

- Translate advertiser goals and purchase behavior into audience definitions, labels, and predictive models

- Build and validate statistical expansion beyond Fetch users, testing quality, calibration, and reach on held-out populations while keeping observed purchases distinct from inferred propensity

- Combine receipt, partner, panel, survey, and contextual data into reliable datasets, accounting for linkage uncertainty, missingness, and coverage, and applying weighting or calibration where warranted

- Design credible studies linking ad exposure to receipt-observed purchases, using experiments when feasible and well-justified observational methods when they aren’t

- Check receipt coverage, exposure matching, selection bias, and uncertainty, and keep attribution and incrementality distinct

- Turn customer problems into scoped products with clear success criteria and launch recommendations, balancing audience quality, reach, advertiser value, user value, revenue, and cost

- Feed campaign outcomes back into audiences and models, using holdouts and fresh data to confirm improvements are real





- Partner with Sales and GTM to shape pilots and explain the product’s value, presenting methods and limitations without overpromising precision or lift

- Build reproducible datasets, analyses, and validation checks, partnering with Product, Engineering, and ML engineers to move prototypes into production

- Document your methods, share reusable code, and pass on what you learn to the team

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

📌 Senior Data Scientist (Canada)
🏢 Fetch
📍 Canada