---
title: 'Senior Data Scientist I, Growth & Engagement at Fetch'
canonical: 'https://feeny.ai/job/senior-data-scientist-i-growth-engagement-fetch-canada-4xcjaa8jfa9c'
type: 'job'
last_seen: '2026-10-26'
---

# Senior Data Scientist I, Growth & Engagement at Fetch

- **Company:** Fetch
- **Location:** Canada
- **Compensation:** $162k–$191k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-10-26
- **Apply:** https://jobs.gem.com/fetch/am9icG9zdDrcU0LkygAfZtEvO8xb9C9_

## Job description

About the Role:

As a Senior Data Scientist focused on growth and engagement, you'll help Fetch understand user behavior and use data to shape product decisions that improve retention and engagement. You'll partner with Product, Engineering, and Design to set clear KPIs, success criteria, and guardrails that your team actually uses to make decisions. You'll independently design credible experiments and deliver clear launch, iterate, or stop recommendations.

You'll also develop predictive models that serve as the intelligence layer for our lifecycle intervention systems, from anticipating user behavior to deeper insight into product experiments. These signals help the product team tailor interventions to the right users and drive user and revenue outcomes.

Beyond whether a change worked, you'll find out who benefits and whether gains persist past novelty, and use that to shape targeting and product priorities. This is an independent, hands-on role: you'll own questions from framing to recommendation, build reusable analyses, and become a trusted voice in your product area's decisions.

What you’ll do at Fetch:

- Independently design, execute, and interpret product experiments for feature development, owning power analysis, primary metrics, and guardrails
- Frame causal questions by defining the population, outcomes, and time horizon needed to show whether a product change caused improvement
- Define KPI frameworks for teams to optimize around, linking product objectives to primary, secondary, and guardrail metrics with clear definitions and success criteria
- Recommend launch, iterate, or stop based on effect size, uncertainty, user value, and business impact
- Balance speed and rigor, and identify when more evidence could change a decision
- Turn ambiguous product questions into structured, credible analysis
- Connect metric movements to behavioral drivers and check alternative explanations
- Use product analytics to understand the user journeys and behaviors most impactful on retention and downstream outcomes, and use those insights to inform product development
- Evaluate how effects differ across user segments without overinterpreting noisy subgroup results
- Separate novelty and short-term gains from persistent, long-term value
- Develop predictive models that act as the intelligence layer for our lifecycle intervention systems
- Use audience segments and predictive signals to help the product team tailor treatment delivery to drive monthly active users and revenue, and validate that targeted treatments actually improve outcomes
- Build clear narratives that translate findings into product action, influencing priorities and launch decisions as the trusted analytical owner for your workstream
- Produce reusable analyses and share analytical knowledge across the team
- Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to conduct and scale analytical work

Minimum Qualifications:

- 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 experiment design end to end, including power analysis, primary metrics, and guardrails
- Track record of using experiment results to recommend launching, iterating, or stopping
- Ability to frame causal questions and distinguish prediction from causal impact
- Experience defining KPI frameworks for a product workstream
- Track record of influencing launch or roadmap decisions, with quantified impact on adoption, retention, engagement, revenue, or efficiency and clear personal ownership
- Experience identifying retention drivers and evaluating which users benefited and whether gains persisted
- Experience applying predictive models to segment users or forecast outcomes
- Strong proficiency in SQL and at least one programming language, preferably Python
- Experience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark
- Ability to communicate assumptions and uncertainty clearly
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.

Preferred Requirements:

- Product analytics experience in a consumer app or digital product, across activation, engagement, retention, or monetization
- Experience evaluating incentives, lifecycle interventions, or personalization
- Experience validating whether targeted treatments improve outcomes
- Track record of sharing reusable analyses and knowledge with your team

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.

## 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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