Director of Data Science, Ads Measurement & Attribution
Director of Data Science, Ads Measurement & Attribution
Director of Data Science, Ads Measurement & Attribution
The Director of Data Science for Ads Measurement & Attribution at Pinterest will lead the strategy for understanding the value of Pinterest for advertisers. This role involves overseeing causal measurement, attribution, and incrementality, while ensuring privacy-safe methodologies. The position requires collaboration with engineering and product teams and representation of Pinterest's scientific efforts externally.
Qualification
- Proven experience in data science, particularly in measurement and attribution.
- Strong leadership skills with experience managing high-performing teams.
- Expertise in causal inference and experimental design methodologies.
- Familiarity with privacy-centric data practices and industry standards.
- Ability to collaborate effectively with engineering and product teams.
Responsibility
- Define and drive the end-to-end science strategy for ads measurement and attribution across various platforms.
- Establish a coherent framework integrating incrementality testing, causal inference, calibrated attribution, and geo experimentation.
- Champion privacy-centric methodologies such as clean rooms and differential privacy.
- Lead the design and governance of lift studies for A/B testing to guide investment decisions.
- Build standardized experiment design patterns and diagnostics for experiment quality.
- Develop causal estimators and variance reduction techniques to enhance sensitivity and speed to signal.
- Evolve multi-touch and data-driven attribution approaches to adapt to cookie deprecation and cross-device fragmentation.
