Director of Data Science, Ads Measurement & Attribution

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. Youll own the roadmap for causal measurement attribution and incrementalityspanning first- and third-party solutions experiment design (including incrementality studies) and model innovation that is privacy-safe and aligned with evolving industry standards. Youll grow and lead a high-performing team of data scientists and analysts partner tightly with Eng and Product and represent Pinterest science externally with customers and the ecosystem.

What youll do:

• Vision and strategy
• Define and drive the end-to-end science strategy for ads measurement and attribution across on-platform off-platform and partner surfaces.
• Establish a coherent framework that integrates incrementality testing causal inference calibrated attribution MMM and geo experimentation.
• Champion privacy-centric methodologies (e.g. clean rooms aggregation differential privacy conversion modeling under signal loss).
• Causal measurement and experimentation
• Lead the design and governance of lift studies where merchants run A/B tests to estimate lift and guide investment decisions.
• Build standardized experiment design patterns power calculators guardrails and experiment-quality diagnostics.
• Develop causal estimators (e.g. CUPED DR/DML synthetic controls) and variance reduction techniques to improve sensitivity and speed to signal.
• Attribution and modeling
• Evolve our multi-touch and data-driven attribution approaches to be durable with cookie deprecation ATT SKAN and cross-device fragmentation.
• Partner with Eng to productionize calibrated models that reconcile observational and experimental evidence; define success metrics and calibration protocols.
• Advance conversion modeling identity-resilient matching and probabilistic methods where deterministic signals are sparse.
• Product and cross-functional leadership
• Partner with Product and Engineering to shape the measurement product roadmap; translate science into advertiser-facing solutions and clear narratives.
• Collaborate with Sales Marketing Science and Partnerships to position our methods with advertisers and measurement partners.
• Engage with Legal/Privacy to ensure compliance and responsible AI practices across data usage and modeling.
• Team building and talent development
• Hire lead and mentor a diverse team of DS managers and senior ICs; foster a culture of scientific rigor reproducibility and impact.
• Set standards for code quality experimentation hygiene documentation and peer review across the DS org.
• Influence and external representation
• Represent Pinterest science in customer briefings industry forums and with third-party measurement partners and clean-room providers.
• Contribute to publications whitepapers and internal tech talks that raise the scientific bar.

What were looking for:

• Leadership and experience
• 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 skillsable to explain complex methods to executives and customers and to translate business needs into scientific work.
• Technical and methodological depth
• 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.
• Product mindset
• 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.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/week in the San Francisco Palo Alto or Seattle offices.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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Required Experience:

Director