Senior Data Scientist II, Monetization

Fetch is hiring a Senior Data Scientist II, Monetization for a remote role open to applicants in Canada. Level rates it ; you can apply on Level.

Level's read on this job

Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
The posting lists this role as remote.
Tools and skills the posting cites include Python, SQL and machine learning.
Level lists 74 other open roles at Fetch.
The role was posted in the last few days.

AI in this role

Senior Data Scientist focused on monetization within an integrated AI and data ecosystem, leveraging machine learning and data science.

pythonsql

machine-learningdata-sciencemonetizationanalytics

What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.
At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
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 II, you’ll own the scientific and product roadmap for a Monetization domain, connecting first-party user monetization with our third-party data products. You’ll lead the full flywheel: informed audience creation, statistical expansion beyond Fetch’s user base, receipt-based off-platform measurement, and continuous audience improvement.
This is a hands-on product leadership role. You’ll act as owner and seller for your domain alongside Product, Engineering, Sales, and GTM, shaping what gets built, how it’s positioned, and what claims the evidence can support.
What you’ll do at Fetch

Own the scientific and product roadmap for your domain, deciding what to build, what to sequence, and what to decline
Set the standards for how audiences are created, evaluated, and expanded beyond Fetch users
Make the call on reach–precision and revenue–cost trade-offs, favoring scalable products over one-off customization
Shape how we combine receipt, partner, panel, and survey data, and decide which data investments are worth making
Own measurement methodology for complex studies linking ad exposure to receipt-observed purchases
Define what results can and can’t support, especially when a causal claim or generalization goes beyond the evidence
Turn bespoke studies into repeatable products
Build the feedback loop between audiences and measurement, with the holdouts and monitoring to trust what it tells you
Connect first-party monetization with third-party products, including using audience insights to acquire and engage high-value users
Lead the scientific case with Sales and GTM, from customer discovery and pilots to positioning and handling buyer objections
Influence senior stakeholders and commercial commitments with clear, evidence-backed recommendations
Stay hands-on in SQL, Python, statistical modeling, and causal inference
Mentor scientists and establish methods that raise quality across the domain

In your Toolbox

8+ years of experience in data science, machine learning, or applied analytics, with demonstrated leadership of complex analytical products in product-driven environments
Experience defining a scientific or data-product roadmap, and the ability to explain what you prioritized, what you declined, and why
Experience leading cross-functional delivery with Sales, GTM, Product, and Engineering, including shaping customer pilots and defending product value directly
A track record of building differentiated datasets or audience products from imperfect sources, with clear trade-offs on coverage, validity, and cost
Experience with audience expansion, panel calibration, data fusion, or measurement products that held up beyond the original sample
Ownership of complex causal measurement, including defending your assumptions under scrutiny and changing a recommendation when the evidence fell short
Judgment on reach–precision and revenue–cost trade-offs, including recognizing when more scale reduced value
Sustained audience or monetization gains and customer adoption, with measured outcomes used to redirect product strategy
Evidence of influencing senior stakeholders, such as times when evidence changed a pitch, commitment, or investment
Hands-on depth in SQL, Python, statistical modeling, and causal inference
Experience mentoring scientists and establishing reusable methods that improved quality beyond your own work

Nice to haves

Substantial ownership of audience, measurement, or monetization data products in advertising, retail media, market research, consumer panels, or a comparable commercial setting is strongly preferred
Experience translating market research or quantitative social science into repeatable products and customer or commercial decisions
A background in political science, survey methodology, econometrics, demography, or another resource-constrained quantitative field

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.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:

Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.
Benefits for humans and pets: We offer comprehensive medical, dental, and vision plans for everyone, including your pets.
Continuing Education: Fetch provides ten thousand per year in education reimbursement.
Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue, and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. (Holidays will vary for Canada-based roles)
Robust Leave Policies: 14 weeks of fully paid parental leave for all employees, plus 6 additional weeks of paid childbirth recovery leave for birthing parents, and a flexible return-to-work schedule.
Calvin Care Cash: Employees who are welcoming new family members will also receive a one-time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers, and much more!
Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US for US-based roles. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)

Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com.

How we rate this

Senior Data Scientist II, Monetization at Fetch rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Data Scientist II, Monetization is an open job at Fetch.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Canada - Remote and is marked remote.
The job was posted on October 16, 2026.
Seniority: senior.
Applications are handled by Fetch. Apply on Fetch

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningData ScienceMonetizationAnalyticsPythonSQL

Also common in data scientist jobs at this level

LLM Generative AI AWS Spark Deep learning PyTorch

Pay

Typical data scientist job: $170k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where monetization was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Data Science, Monetization, Analytics, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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