As the Director of Data Science for Ads Measurement & Attribution, you will set the vision and lead the science strategy behind how advertisers understand the value of Pinterest. You’ll own the roadmap for causal measurement, attribution, and incrementality—spanning first- and third-party solutions, experiment design (including incrementality studies), and model innovation that is privacy-safe and aligned with evolving industry standards.
Requirements
- 10+ years of experience in data science, statistics, or applied ML, with substantial time in ads measurement, attribution, or experimentation at scale.
- 5+ years leading DS teams, including managing managers and senior ICs; proven track record of building high-performing, inclusive teams.
- Demonstrated success driving cross-functional impact with Product, Engineering, Sales, and Legal/Privacy.
- Exceptional communication skills—able to explain complex methods to executives and customers and to translate business needs into scientific work.
- Strong foundation in causal inference and experimentation (A/B testing, geo experiments, quasi-experimental designs, variance reduction).
- Hands-on experience with attribution and calibration (rule-based and data-driven MTA, counterfactual estimation, aggregation and identity challenges).
- Familiarity with MMM and triangulation approaches that reconcile MMM, MTA, and lift tests.
- Proficiency in Python or R; strong SQL; comfort reviewing production code and collaborating with platform/ML engineers.
- Experience with privacy-centric measurement: clean rooms, aggregation frameworks, differential privacy, on-device/edge signals, and privacy regulations.
- Evidence of turning science into durable, scalable products with clear customer value.
- Fluency in metric design, north-star definitions, and guardrails that align with advertiser outcomes.
- Experience with ad platforms, retail media, or e-commerce measurement.
- Knowledge of identity resolution, SKAN/ATT, and browser privacy changes.
- Publications or talks in causal inference, experimentation, or ads measurement.
- Advanced degree in Statistics, Econometrics, CS, or related quantitative field.
Benefits
- Base salary range: $226,644—$466,620 USD
- Equity eligible
- Flexible work arrangements
- In-office collaboration 1-2 times/week
- Pins Flexible
