Sr. Data Scientist, Monetization
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the produ
What this role actually needs.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the produ Responsibilities: - Deep strategic analysis to answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem? - Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment. - Modeling: Build segmentation models to assess supply to inform pricing strategy. - Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. - Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time). - Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. Requirements: - Bachelor’s/Master’s degree in a relevant field such as Data Science, or equivalent experience - 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data. - Strong fundamentals in statistics, experimentation. - Domain knowledge in ecosystem, ads, or real-time-bidding. - Proven ability to apply scientific methods to solve real-world problems on web-scale data. - Proficiency in SQL/Hive/Python. Company context: Pinterest is the visual discovery platform that powers idea search and shopping across web and mobile.
Day-to-day expectations
Pinterest lists these responsibilities for the Sr. Data Scientist, Monetization role.
- Deep strategic analysis to answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?
- Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment.
- Modeling: Build segmentation models to assess supply to inform pricing strategy.
- Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
- Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by adv
- Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Bachelor’s/Master’s degree in a relevant field such as Data Science, or equivalent experience
- 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
- Strong fundamentals in statistics, experimentation.
- Domain knowledge in ecosystem, ads, or real-time-bidding.
- Proven ability to apply scientific methods to solve real-world problems on web-scale data.
- Proficiency in SQL/Hive/Python.
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Open the source listing from pinterestcareers.com, confirm the role is still active, then apply on the employer or ATS page.
Source: pinterestcareers.com · Source ID: 5740948 · Confidence: 90/100 · Last checked: May 7, 2026
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