Senior Data Scientist II, Monetization

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the scientific and product strategy for the monetization sector.

• Establish benchmarks for the creation, assessment, and growth of audiences beyond Fetch users.

• Make decisions regarding reach–precision and revenue–cost trade-offs, prioritizing scalable solutions over customized one-off projects.

• Define the integration of receipt, partner, panel, and survey data and prioritize investments in data.

• Oversee the measurement methodology for studies correlating ad exposure to observed purchases from receipts.

• Determine which results claims and generalizations can be supported, particularly causal claims.

• Transform custom studies into repeatable products.

• Create feedback mechanisms between audiences and measurement through holdouts and monitoring.

• Link first-party monetization with third-party products and leverage audience insights to attract and engage high-value users.

• Drive the scientific narrative with Sales and GTM through customer discovery, pilot programs, positioning, and addressing buyer concerns.

• Persuade senior stakeholders and secure commercial commitments using evidence-based recommendations.

• Engage actively in SQL, Python, statistical modeling, and causal inference.

• Mentor scientists and implement methodologies that enhance quality across the sector.

⛳️ Requirements

• 8+ years of experience in data science, machine learning, or applied analytics.

• Proven leadership in managing complex analytical products within product-driven environments.

• Experience in defining scientific or data product roadmaps and articulating prioritization decisions.

• Experience leading cross-functional initiatives with Sales, GTM, Product, and Engineering, including customer pilots and defending product value.

• Demonstrated ability to build unique datasets or audience products from imperfect data sources, balancing coverage, validity, and cost.

• Familiarity with audience expansion, panel calibration, data fusion, or measurement products that have sustained validity beyond the initial sample.

• Proven ownership of complex causal measurement and the capability to defend assumptions under scrutiny.

• Strong judgment regarding reach–precision and revenue–cost trade-offs.

• Demonstrated success in achieving sustained audience or monetization gains and customer adoption, with measurable outcomes influencing product strategy.

• Evidence of effectively influencing senior stakeholders through data-supported recommendations.

• Hands-on expertise in SQL, Python, statistical modeling, and causal inference.

• Experience in mentoring scientists and developing reusable methods that enhance quality.

• Significant ownership of audience, measurement, or monetization data products in advertising, retail media, market research, consumer panels, or similar commercial contexts is strongly preferred.

• Experience in translating market research or quantitative social science into repeatable products and commercial or customer decisions is preferred.

• Background in political science, survey methodology, econometrics, demography, or another resource-constrained quantitative discipline is preferred.

🏝️ Benefits

• Equity: We provide full-time employees with equity in Fetch, allowing everyone to share in Fetch’s success.

• 401(k): Fetch matches your contributions dollar for dollar, up to 4% of your eligible salary.

• Comprehensive medical, dental, and vision coverage for all, including pets.

• Continuing Education: $10,000 per year for education reimbursement.

• Employee Resource Groups offering events, dialogues, and advocacy opportunities.

• Flexible PTO, 9 paid holidays, and a week-long break at the end of the year.

• 14 weeks of fully paid parental leave, in addition to 6 weeks of paid recovery leave for birthing parents, with a flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members.

• Flexible Work Environment allowing remote work from anywhere in the US for US-based positions.

• Provision of hardware and software for home working.