Senior Data Scientist II – Monetization

🔥 17 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 CA$186.4k - CA$219.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Fetch

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

👥 B2C

📣 Marketing

🔥 Funding within the last year

💰 Later Stage VC on 2026-05

B2C • Marketing

Fetch is a consumer mobile rewards app that lets users scan receipts to earn points that can be redeemed for gift cards and other rewards. The app awards points for everyday purchases (groceries, fuel, meals, games, etc. ), offers in-app games and promotions, and provides a business-facing offering (Fetch for Business) and browser extension. Fetch reports millions of monthly earners, millions of app reviews, and over $1B in rewards redeemed. The service emphasizes easy receipt scanning, point accumulation, and low-effort rewards for shoppers.

📋 Description

• Own the scientific and product roadmap for the monetization domain, deciding what to build, sequence, and decline • Set standards for creating, evaluating, and expanding audiences beyond Fetch users • Make reach–precision and revenue–cost trade-offs, favoring scalable products over one-off customization • Shape the combination of receipt, partner, panel, and survey data and prioritize data investments • Own measurement methodology for complex studies linking ad exposure to receipt-observed purchases • Define what results can and cannot support, especially for causal claims or generalizations beyond the evidence • Turn bespoke studies into repeatable products • Build feedback loops between audiences and measurement, including holdouts and monitoring • Connect first-party monetization with third-party products, using audience insights to acquire and engage high-value users • Lead the scientific case with Sales and GTM through customer discovery, pilots, positioning, and buyer-objection handling • Influence senior stakeholders and commercial commitments with evidence-backed recommendations • Work hands-on in SQL, Python, statistical modeling, and causal inference • Mentor scientists and establish methods that raise quality across the domain • Collaborate with Product, Engineering, Sales, and GTM partners

🎯 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 • 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 • Appropriate work authorization for employment in the United States or an eligible Canadian province (excluding Quebec)

🏖️ Benefits

• 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)

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