Senior Data Scientist – Monetization

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

📋 Description

• Take full ownership of a specified audience or measurement product from the initial problem definition to its final delivery.

• Convert advertiser objectives and purchasing behavior into audience specifications, classifications, and predictive models.

• Develop and validate statistical expansions beyond Fetch users.

• Assess quality, calibration, and reach on reserved populations, differentiating between actual purchases and inferred propensities.

• Integrate receipt, partner, panel, survey, and contextual data into dependable datasets.

• Address linkage uncertainty, missing data, and coverage, utilizing weighting or calibration as necessary.

• Design studies that connect ad exposure to receipt-verified purchases, employing experiments when possible and observational methods when required.

• Evaluate receipt coverage, exposure matching, selection bias, and uncertainty.

• Maintain a clear distinction between attribution and incrementality.

• Transform customer challenges into scoped products with defined success metrics and launch recommendations.

• Balance audience quality, reach, advertiser value, user benefit, revenue, and expenditures.

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

• Collaborate with Sales and GTM teams to develop pilots and articulate product value, methodologies, and limitations.

• Create reproducible datasets, analyses, and validation checks.

• Work alongside Product, Engineering, and ML engineers to transition prototypes into production.

• Document methodologies, share reusable code, and disseminate knowledge within the team.

• Work with customers to clarify product functions, effectiveness, and limitations.

⛳️ Requirements

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

• Proven track record of managing complex analytical issues in product-focused environments.

• Experience overseeing an audience, measurement, or data product from an ambiguous inquiry to delivery and subsequent business decision.

• History of regular collaboration with product, engineering, and commercial teams.

• Ability to articulate customer requirements and personal contributions effectively.

• Experience in constructing valuable datasets from fragmented, incomplete, or biased data sources and evaluating their reliability.

• Strong skills in population inference.

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

• Practical experience in causal inference, including defensible experiments or observational studies.

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

• Commitment to creating reusable and reproducible assets.

• Capability to communicate scientific findings clearly to non-technical and customer audiences.

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

• Applied 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.

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

• Valid work authorization for the United States or Canada, where applicable.

🏝️ Benefits

• Equity for full-time employees.

• 401(k) contribution matching dollar for dollar, up to 4% of eligible compensation.

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

• $10,000 per year in education reimbursement.

• Opportunities for participation in Employee Resource Groups and Inclusion Council.

• Flexible paid time off (PTO).

• 9 paid holidays (holidays vary for Canada-based roles).

• A week-long break at the end of the year.

• 14 weeks of fully paid parental leave.

• An additional 6 weeks of paid recovery leave for birthing parents.

• Flexible return-to-work schedule.

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

• A flexible work environment.

• Provision of necessary hardware and software for remote work.