---
title: 'Senior Data Scientist I, Monetization at Fetch'
canonical: 'https://feeny.ai/job/senior-data-scientist-i-monetization-fetch-canada-er3mqdgm7k2d'
type: 'job'
last_seen: '2026-10-19'
---

# Senior Data Scientist I, Monetization at Fetch

- **Company:** Fetch
- **Location:** Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.gem.com/fetch/am9icG9zdDpPpIB2mi0C5ZjaEe9qGT8x

## Job description

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 built on real purchase data, shared by millions of users scanning their receipts. In Monetization, we turn that signal into products advertisers rely on: audiences built from actual shopping behavior, and measurement that shows whether a campaign changed what people bought.

As a Senior Data Scientist I, you’ll independently own a defined audience or measurement product, from framing the problem to delivering it. Most of your work will support our third-party data products business, and you’ll also apply what you learn to first-party user monetization. You’ll own the full loop: building informed audiences, extending them beyond Fetch’s user base, measuring off-platform outcomes through receipts, and using those results to make the next audience better.

This is a hands-on scientific and product role. You’ll partner closely with Product, Engineering, Sales, and GTM, and you’ll be in the room with customers explaining what the product does, why it works, and where its limits are.

## What you’ll do at Fetch

- 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

In your Toolbox

- 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
- Strong 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

Nice to haves

- 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

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.

## About Fetch

## Company Overview
- **One-liner**: Fetch is a rewards app and outcomes-based advertising platform that gives users points for everyday shopping, dining, and gaming activities, redeemable for gift cards and other rewards.
- **Entity Type**: Private (Series E)
- **Headquarters**: Madison, Wisconsin, United States
- **Founded**: 2013
- **Founders**: Wes Schroll

## Core Business
- **Primary industry/industries**: Consumer rewards, digital advertising, mobile apps, data analytics
- **Target customers**: B2C (consumers via the Fetch app) and B2B (brands and retailers via its outcomes-based advertising platform)
- **Mission or purpose statement**: To create the rewards destination for everyone, turning everyday moments into opportunities for consumers to earn something back while helping brands acquire and retain lifelong consumers.

## Products & Services
- **Fetch Rewards App (Consumer)**: A mobile app that awards users "Fetch Points" for submitting receipts from any retailer, as well as for dining out, playing games, and other daily activities. Points can be redeemed for free gift cards to popular retailers, restaurants, and charities. The app personalizes offers and becomes more rewarding the more it's used.
- **Fetch for Business (Advertising Platform)**: An outcomes-based advertising platform that gives brands SKU-level visibility into over $212 billion in annual gross merchandise value. It helps brands target shoppers with purchase-based offers, drive incremental sales, and build lasting brand loyalty through a non-disruptive, reward-based ad model.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Over $855.3 million in total funding across 13 rounds; annual revenue estimated at $102 million [linkedin.com](https://linkedin.com/company/fetch-rewards)
- **Notable Investors/Partners**: Not explicitly listed in search results, but the company has raised significant capital (Series E stage) from venture capital firms.
- **Growth Signals**: Employs 792 people (with a -5.6% YoY change) [linkedin.com](https://linkedin.com/company/fetch-rewards); processes over 13 million receipts daily; has visibility into $212 billion in annual GMV; named one of America’s Best Startup Employers by Forbes for two consecutive years [fetch.com](https://fetch.com/careers/jobs); has offices or coworking spaces in Madison, Chicago, Birmingham, Boston, New York, and Mexico City.

## Competitive Advantages
- **Massive, proprietary data set**: Fetch possesses the largest retail-agnostic, SKU-level view of household spending, giving it unique consumer insights that power its advertising platform.
- **Mutually beneficial model**: Unlike disruptive ads, Fetch’s model creates a win-win where consumers get rewards and brands get measurable, outcomes-based results.
- **Scale and adoption**: With millions of active users and over 13 million receipts submitted daily, Fetch has a large, engaged user base that is difficult for competitors to replicate.
- **Third-party validated measurement**: The platform’s effectiveness is rigorously measured and validated by industry-leading third parties, building trust with brand partners.

## Strategic Focus
- **Continued platform expansion**: The company is focused on growing its rewards ecosystem beyond just receipt scanning, including dining, gaming, and other daily moments.
- **Deepening advertising capabilities**: Fetch is investing in its outcomes-based ad platform to help brands acquire and retain consumers more effectively.
- **AI and data science**: The company is actively hiring for roles like Staff Product Designer, AI Labs and Senior Data Scientist, indicating a focus on leveraging AI to enhance personalization and product innovation [fetch.com](https://fetch.com/careers/jobs).
- **International and talent growth**: With offices in Mexico City and remote roles, Fetch is expanding its geographic footprint and talent base.

## Why Work Here
- **Culture and recognition**: Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, with a people-first culture rooted in trust, accountability, and innovation [fetch.com](https://fetch.com/careers/jobs).
- **Generous compensation and benefits**:
    - **Equity**: All employees receive Restricted Stock Units (RSUs), giving them a stake in the company’s success [fetch.com](https://fetch.com/careers/faq).
    - **401(k)**: 100% match on the first 4% of contributions [fetch.com](https://fetch.com/careers).
    - **Parental Leave**: 20 weeks for primary caregivers, 14 weeks for secondary caregivers, plus a $2,000 stipend [fetch.com](https://fetch.com/careers).
    - **Education**: $10,000+ per year in education reimbursement for job-related courses or programs [fetch.com](https://fetch.com/careers).
    - **Family Planning**: Support for egg retrieval, adoption, IVF, and surrogacy through partner Carrot, with a $10k lifetime stipend [fetch.com](https://fetch.com/careers).
    - **Health & Wellness**: Medical, Dental, Vision (with perks like teeth whitening and laser eye surgery discounts), HSA with employer contributions, wellness coach, nutrition counseling, and Gympass membership [fetch.com](https://fetch.com/careers/faq).
    - **Time Off**: Flexible PTO, 9 paid holidays, plus a year-end week-long break [fetch.com](https://fetch.com/careers).
    - **Pet Insurance**: Fully covered for the first pet, and bereavement leave includes furry family members [fetch.com](https://fetch.com/careers/faq).
- **Flexible work environment**: Most roles offer a "Remote Flexible Environment," with offices in Madison, Chicago, Birmingham, Boston, New York, and Mexico City for in-person collaboration [fetch.com](https://fetch.com/careers/faq).
- **Early career programs**: Offers a 12-week Tech Internship and a 12-week Tech Apprenticeship program for those starting their careers in software engineering or data [fetch.com](https://fetch.com/careers/faq).
- **Hiring process**: Typically includes an application review, a take-home exercise, a phone interview, and a panel interview [fetch.com](https://fetch.com/careers/faq).

## Sources
1. [fetch.com - Careers Page](https://fetch.com/careers)
2. [fetch.com - Careers FAQ](https://fetch.com/careers/faq)
3. [fetch.com - About Us](https://business.fetch.com/about-us)
4. [fetch.com - Open Positions](https://fetch.com/careers/jobs)
5. [linkedin.com - Fetch Company Page](https://linkedin.com/company/fetch-rewards)

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