About the RoleFetch 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.
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
Compensation: At 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 [$183,665 - $216,077]. 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.
- 401k Match: Dollar-for-dollar match up to 4%.
- 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.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, 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. 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)
