Staff Data Scientist, Ad Measurement Products
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: - Design, implement, and validate advanced causal inference methods for incrementality and lift measurement. - Apply AI/ML techniques and AI-assisted workflows to improve the scale, speed, and quality of ads measurement, experimentation, and insight generation across first- and third-party measurement products. - Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, under-power, and data quality issues, including those that may arise from AI-enabled systems. - Influence Ads Product and Engineering to define the measurement roadmap and integrate science and AI-powered solutions into products and platforms including model-driven diagnostics, anomaly detection, automated insight generation, and decision-support for advertisers. - Collaborate with internal and external measurement partners, such as clean rooms, conversion APIs, MMM partners, and MTA vendors, to design and evaluate joint solutions. - Define and own key success metrics for first-party measurement products; build tools and frameworks that enable teams and advertisers to make better decisions. Requirements: - 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data. - 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA). - Proficiency in SQL and expertise in at least one scripting language (ideally Python or R). - Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value. - Experience applying AI/ML methods or AI-assisted workflows to analytics, experimentation, measurement, or product problems. - Strong judgment in evaluating AI-generated outputs and translating them into reliable, explainable, and scientifically sound solutions. 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 Staff Data Scientist, Ad Measurement Products role.
- Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
- Apply AI/ML techniques and AI-assisted workflows to improve the scale, speed, and quality of ads measurement, experimentation, and insight generation across first- and third-party measurement products.
- Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, under-power, and data quality issues, including those that may arise from AI-enabled systems.
- Influence Ads Product and Engineering to define the measurement roadmap and integrate science and AI-powered solutions into products and platforms including model-driven diagnostics, anomaly detection, automated insight generation, and decision-support for advertisers.
- Collaborate with internal and external measurement partners, such as clean rooms, conversion APIs, MMM partners, and MTA vendors, to design and evaluate joint solutions.
- Define and own key success metrics for first-party measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
- 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
- Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
- Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
- Experience applying AI/ML methods or AI-assisted workflows to analytics, experimentation, measurement, or product problems.
- Strong judgment in evaluating AI-generated outputs and translating them into reliable, explainable, and scientifically sound solutions.
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Staff Data Scientist, Ad Measurement Products is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
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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: 6482819 · Confidence: 90/100 · Last checked: May 7, 2026
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