Senior Data Scientist II – Monetization

Posted 1 day ago

This is a fully remote position, open to applicants in Canada, +1 more country.

πŸ“‹ Description

β€’ Take ownership of the scientific and product roadmap within the monetization sector, determining what to develop, the order of implementation, and what to forgo.

β€’ Establish benchmarks for creating, assessing, and broadening audiences beyond just Fetch users.

β€’ Make trade-offs between reach versus precision and revenue versus cost, prioritizing scalable products over one-off custom solutions.

β€’ Shape and prioritize the integration of receipt, partner, panel, and survey data, focusing on strategic data investments.

β€’ Manage measurement methodologies for intricate studies that link ad exposure to purchases observed through receipts.

β€’ Clarify what results can and cannot substantiate, especially regarding causal claims or generalizations beyond available evidence.

β€’ Transform customized studies into standardized products.

β€’ Develop feedback mechanisms between audiences and measurement, incorporating holdouts and monitoring processes.

β€’ Integrate first-party monetization efforts with third-party products, leveraging audience insights to attract and retain high-value users.

β€’ Spearhead the scientific narrative alongside Sales and GTM through customer discovery, pilot programs, positioning, and addressing buyer objections.

β€’ Persuade senior stakeholders and commercial partners with recommendations backed by evidence.

β€’ Engage hands-on with SQL, Python, statistical modeling, and causal inference techniques.

β€’ Guide and mentor scientists while establishing methodologies that enhance quality across the domain.

β€’ Collaborate effectively with Product, Engineering, Sales, and GTM partners.


⛳️ Requirements

β€’ 8+ years of experience in data science, machine learning, or applied analytics, showcasing leadership in complex analytical products within product-centric settings.

β€’ Proven experience in defining a scientific or data-product roadmap, with the ability to articulate your priorities, decisions to decline, and the rationale behind them.

β€’ Demonstrated experience leading cross-functional initiatives with Sales, GTM, Product, and Engineering, including shaping customer pilot programs and defending the value of products directly.

β€’ A history of constructing differentiated datasets or audience products from imperfect data sources, with clear trade-offs on coverage, validity, and costs.

β€’ Experience in audience expansion, panel calibration, data fusion, or measurement products that have proven effective beyond the initial sample.

β€’ Ownership of complex causal measurement, including the ability to defend your assumptions under scrutiny and revise recommendations when evidence is lacking.

β€’ Ability to make judgments on reach versus precision and revenue versus cost trade-offs, including recognizing instances when increased scale diminishes value.

β€’ Proven success in achieving audience or monetization growth and customer adoption, utilizing measured outcomes to steer product strategy.

β€’ Evidence of influencing senior stakeholders, such as instances where evidence led to changes in pitches, commitments, or investments.

β€’ Hands-on expertise in SQL, Python, statistical modeling, and causal inference methodologies.

β€’ Experience mentoring scientists and developing reusable methods that enhance quality beyond your individual contributions.

β€’ Significant experience managing audience, measurement, or monetization data products in advertising, retail media, market research, consumer panels, or a similar commercial environment is highly preferred.

β€’ Ability to translate market research or quantitative social science findings into repeatable products and informed customer or commercial decisions.

β€’ A background in political science, survey methodology, econometrics, demography, or another resource-constrained quantitative discipline.

β€’ Valid work authorization for employment in the United States or an eligible Canadian province (excluding Quebec).


🏝️ Benefits

β€’ Equity: We offer full-time employees equity in Fetch, enabling everyone to share in Fetch’s growth.

β€’ 401(k): Fetch will match your contributions dollar for dollar, up to 4% of your eligible pay.

β€’ Comprehensive Benefits: We provide extensive medical, dental, and vision plans for all employees, including their pets.

β€’ Continuing Education: Fetch offers $10,000 per year for education reimbursement.

β€’ Employee Resource Groups: Participate in employee-led groups aimed at promoting a diverse and inclusive workplace through events, dialogue, and advocacy. These groups are involved in our Inclusion Council alongside executive leadership.

β€’ Paid Time Off: In addition to our flexible PTO, Fetch observes 9 paid holidays and a week-long break at year-end. (Holidays may vary for roles based in Canada.)

β€’ Robust Leave Policies: Enjoy 14 weeks of fully paid parental leave for all employees, plus an additional 6 weeks of paid recovery leave for birthing parents, along with a flexible return-to-work schedule.

β€’ Calvin Care Cash: Employees welcoming new family members will receive a one-time $2,000 incentive to help cover costs associated with childcare, clothing, diapers, and more!

β€’ Flexible Work Environment: Work collaboratively in one of our beautiful offices or choose to work fully remotely from anywhere in the US for US-based roles. We’ll ensure you have the necessary hardware and software to perform your job effectively from home. (Applicable for most roles)

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