Senior Data Scientist II, Monetization

Responsibilities

You will own the scientific and product roadmap for the Monetization domain, leading the development of audience creation and measurement products. This involves collaborating with cross-functional teams to turn data signals into actionable insights and scalable commercial products.

Requirements

The role requires over 8 years of experience in data science or applied analytics with a strong background in causal inference and statistical modeling. Candidates must demonstrate leadership in product-driven environments and the ability to influence senior stakeholders with evidence-backed recommendations.

Skills

• Data science
• Machine learning
• Applied analytics
• SQL
• Python
• Statistical modeling
• Causal inference
• Product roadmap
• Audience expansion
• Measurement methodology
• Data fusion
• Cross-functional leadership
• Stakeholder management
• Retail media
• Market research
• Econometrics

Benefits

• Equity
• Paid time off
• Holidays

About this role

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:

*...

About Fetch

Technology, Information and Internet · 501-1,000 employees · headquartered in Hybrid-remote workplace · founded 2013