Senior Data Scientist II - Monetization
Data ScientistData
3 views0 saves0 applied
Quick Summary
Key Responsibilities
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,
Technical Tools
Data ScientistData
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.
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.).
Responsibilities
~2 min read- →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
Minimum Requirements:
- →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
Requirements
~1 min read- 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
What We Offer
~1 min readAt Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is [CA$186,405 - CA$219,300]. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.
Location & Eligibility
Where is the job
Canada
Remote within one country
Who can apply
CA
About this job
- Pay per year
- CA$186,405–CA$219,300 a year
- Who can apply
- Canada
- Posted
- 21 days ago
Listing Details
- Posted
- October 16, 2026
- First seen
- October 17, 2026
- Last seen
- November 7, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 40%
- Scored at
- November 7, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
4 other jobs at
View all →Similar Data Scientist jobs
View all →Senior Analytical Data Scientist
$165,000-$180,000
Senior Research Scientist, Silicon Spin Qubits
$150K - $225K
Full-Time / Permanent
Data Scientist III (US) - FCRM
$96,130 - $155,950 USD
Data Scientist III (US) - FCRM
$96,130 - $155,950 USD
Research Scientist, AI and Systems Security - PhD New College Grad 2026
Senior Data Scientist, Lucie
$163,944 - $215,176 per year
Newsletter
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
A
B
C
D
No spam. Unsubscribe at any time.