---
title: 'Senior Data Scientist II, Core & Agentic Automation at Fetch'
canonical: 'https://feeny.ai/job/senior-data-scientist-ii-core-agentic-automation-fetch-canada-mkrty2nw31pf'
type: 'job'
last_seen: '2026-10-26'
---

# Senior Data Scientist II, Core & Agentic Automation at Fetch

- **Company:** Fetch
- **Location:** Canada
- **Compensation:** $186k–$219k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-10-26
- **Apply:** https://jobs.gem.com/fetch/am9icG9zdDpS5LmpLOmxxLdsZea2D4oU

## 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:

You'll help Fetch run on rigorous performance standards and scalable self-service analytics. You'll help deliver our core company KPI framework, including its underlying model, while leading reusable, company-wide analytical frameworks and automation.

The work centers on trusted metrics: standardizing how impact is measured and connecting product and business drivers to outcomes like MAU, retention, ARPU, revenue, and margin. You'll establish governed self-service and agentic workflows that reduce bespoke work and improve decision speed while maintaining scientific quality.

You'll define core data science priorities across teams and set the KPI, measurement, and modeling standards others adopt. You'll shape leadership strategy, align Finance and Product on targets and trade-offs, and mentor scientists, partnering with cross-functional partners along the way.

What You'll Do at Fetch:

- Define core data science priorities across teams, deciding which questions and investments to pursue or decline
- Help deliver our core company KPI framework, including its driver tree and sensitivity modeling
- Lead reusable, company-wide analytical frameworks and automation
- Establish governed self-service and agentic workflows that reduce bespoke work and improve decision speed while maintaining scientific quality
- Design reusable frameworks with evaluation and evidence traceability
- Set definitions and targets for certified metrics with owners, and resolve conflicting definitions with partners
- Build KPI trees and decompositions that connect product and business drivers to MAU, retention, ARPU, revenue, and margin
- Choose defensible models and quantify the direction, sensitivity, predictive strength, and time horizon of KPI-to-North-Star relationships
- Validate leading indicators out of sample, distinguishing arithmetic identities, predictive associations, and causal effects
- Build scenarios and defensible team targets
- Set measurement standards and defend identification assumptions, guiding decisions when randomization or causal evidence is limited
- Select observational methods when needed, using diagnostics and robustness checks
- Measure accuracy, adoption, reduced bespoke analysis, and time to decision
- Build reproducible, tested analytical workflows in SQL and Python
- Partner with Data Engineering on gold tables and data marts
- Shape leadership strategy and team accountability, aligning Finance and Product on targets, trade-offs, and when evidence warrants a change
- Partner with Product, Finance, Commercial, and Engineering to drive adoption
- Communicate assumptions and uncertainty clearly
- Mentor scientists and establish reusable KPI, measurement, and modeling standards adopted across teams

Minimum Qualifications:

- 8+ years of experience in data science, machine learning, or applied analytics, with demonstrated ownership of complex analytical problems in product-driven environments
- Ability to explain which questions and investments you prioritized or declined, and how quantified KPI relationships changed planning or investment decisions
- Proven ability to define KPIs and their hierarchy with multiple stakeholders, structure complex spaces into tackle-able plans, and establish trusted metric definitions adopted across Product, Finance, Commercial, and Engineering
- Track record of aligning Finance and Product on targets, trade-offs, and when evidence warrants a change
- Deep expertise building and validating ML models, including regression, causal inference, and graph models, that connect user behavior and business drivers to retention, monetization, or company outcomes
- Skilled at using models for target setting and scenario planning while distinguishing prediction from causal impact
- Demonstrated ability to set measurement standards and defend identification assumptions when randomization or causal evidence is limited, with enough experimentation knowledge to support product data scientists
- Strong skills in SQL, Python, statistics, causal inference, and forecasting
- Track record of shipping reusable dashboards, diagnostic apps, or analytical frameworks with proven accuracy, adoption, and decision impact, and partnering on productionization of robust SQL/Python assets
- History of mentoring scientists and establishing KPI, measurement, or modeling standards that raise quality across teams
- Hands-on experience automating systems with AI, including personally building and shipping agentic automation used in real analytical or business workflows, whether in production or with internal users
- Ability to explain your contribution and how the system retrieves data, uses tools, and completes tasks
- Proven approach to evaluating agentic systems for numerical and analytical accuracy, traceability, failure handling, and adoption, and reusing that approach beyond a single demo or one-off analysis

Preferred Qualifications:

- Consumer product analytics experience connecting acquisition, activation, engagement, retention, and monetization
- Experience owning KPI frameworks, causal measurement, or business planning across multiple teams
- Experience in centralized or platform data science
- Experience with experimentation platforms
- Experience with governed self-service analytics

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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