Senior Data Scientist, Monetization

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

📋 Description

• Take full ownership of a designated audience or measurement product, managing everything from problem framing to delivery.

• Convert advertiser objectives and purchasing behaviors into audience definitions, labels, and predictive models.

• Construct and validate statistical expansions beyond Fetch users, assessing quality, calibration, and reach on held-out populations.

• Separate observed purchases from inferred propensity.

• Integrate receipt, partner, panel, survey, and contextual data into trustworthy datasets, while addressing linkage uncertainty, missingness, and coverage issues.

• Implement weighting or calibration when necessary.

• Design credible studies that link ad exposure to receipt-observed purchases, utilizing experiments when feasible and justified observational methods when required.

• Evaluate receipt coverage, exposure matching, selection bias, and uncertainty; clearly differentiate attribution from incrementality.

• Transform customer challenges into well-defined products with success criteria and launch recommendations.

• Balance considerations of audience quality, reach, advertiser value, user value, revenue, and costs.

• Incorporate campaign results back into audiences and models using holdouts and updated data.

• Collaborate with Sales and Go-To-Market teams to shape pilots and articulate product value, methodologies, and constraints.

• Develop reproducible datasets, analyses, and validation checks in partnership with Product, Engineering, and ML engineers.

• Transition prototypes into production environments.

• Document methodologies, share reusable code, and impart knowledge to the team.

• Work alongside Product, Engineering, Sales, and Go-To-Market teams and clearly communicate products to customers.

⛳️ Requirements

• Over 5 years of experience in data science, machine learning, or applied analytics.

• Proven track record of owning complex analytical challenges in product-focused environments.

• Experience managing an audience, measurement, or data product from an ambiguous question to delivery and business decision-making.

• Regular engagement with product, engineering, and commercial partners, with the ability to clearly convey customer needs and personal contributions.

• Experience in creating valuable datasets from fragmented, incomplete, or biased sources and evaluating their validity.

• Strong skills in population inference, including generalizing from an observed sample to a larger population and identifying missing data.

• Experience in developing propensity or audience models, and validating population coverage, calibration, and measured outcomes.

• Hands-on experience in causal inference, including defensible experiments or observational studies, and differentiating attribution from incrementality.

• Proficient in SQL, Python, applied statistics, and predictive modeling techniques.

• Commitment to creating reusable, reproducible assets.

• Ability to clearly communicate scientific findings to nontechnical and customer audiences.

• Good judgment regarding when to work independently and when to seek feedback.

• Relevant experience in monetization data science, audience development, advertising measurement, market research, or consumer panels is highly preferred.

• Familiarity with panel, survey, consumer research, or purchase data is preferred.

• A background in political science, survey methodology, econometrics, demography, or another quantitative discipline is preferred.

🏝️ Benefits

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

• 401(k): Fetch offers a dollar-for-dollar match on your contributions, up to 4% of your eligible pay.

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

• Up to $10,000 annually in education reimbursement.

• Employee Resource Groups featuring events, discussions, and advocacy.

• Flexible Paid Time Off (PTO), 9 paid holidays, and a week-long break at year-end.

• 14 weeks of fully paid parental leave for all employees, plus an additional 6 weeks of paid childbirth recovery leave for birthing parents, along with a flexible return-to-work schedule.

• A one-time $2,000 Calvin Care Cash incentive for employees who welcome new family members.

• Flexible work environment; fully remote work from anywhere in the US for US-based roles.

• Hardware and software support provided for remote work.