Senior
Bring scientific rigor to Pinterest's performance marketing growth strategy through measurement, experimentation, and LTV modeling
Pinterest's Growth Marketing team is hiring a Senior Data Scientist to own marketing measurement and optimization — geo-testing and incrementality frameworks, propensity/forecasting/LTV models, and experimentation infrastructure — that directly shapes user-growth investment decisions. The role requires 5+ years of applied quantitative experience, a master's in a quantitative field, and strong causal inference and experimentation depth, plus the ability to explain your reasoning process to both technical and executive audiences.
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Likely format
Pinterest publicly describes an AI-inclusive interview philosophy that emphasizes explaining your approach and reasoning, not just final answers.
What this interview tests
- Geo-testing and incrementality/causal inference frameworks
- Propensity, forecasting, and LTV modeling for marketing optimization
- Experimentation design and identifying flaws in existing experiment practices
- Translating ambiguous business questions into defined metrics and analyses
- SQL/Hive and Python/R for statistical modeling
- Cross-functional communication of findings to senior leadership
Common question themes
Design a geo-test or incrementality experiment to measure paid marketing's causal lift
Build and validate a lifetime-value or propensity model for a marketing use case
Describe a time you found a flaw in an existing experiment and corrected it
How would you quantify the effect of performance marketing in a new market
Walk through turning a vague growth question into a metrics framework
How do you incorporate AI tools into your data science workflow while explaining your own reasoning
All Pinterest Sr. Data Scientist interviews
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