Staff Data Scientist, Ad Measurement Products

Pinterest Pinterest · Consumer · San Francisco, CA · Monetization

Staff Data Scientist role focused on ad measurement products at Pinterest. The role involves designing and implementing causal inference methods, applying AI/ML techniques to enhance measurement scale and quality, ensuring scientific rigor, influencing product roadmaps with AI-powered solutions, and collaborating with external partners. The position requires technical leadership, mentorship, and strong communication skills, with a focus on turning ambiguous questions into actionable analyses and driving decisions that balance scientific rigor with business value.

What you'd actually do

  1. Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
  2. 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.
  3. 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.
  4. 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.
  5. Collaborate with internal and external measurement partners, such as clean rooms, conversion APIs, MMM partners, and MTA vendors, to design and evaluate joint solutions.

Skills

Required

  • 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
  • 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.
  • Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
  • Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.

What the JD emphasized

  • advanced causal inference methods
  • AI/ML techniques
  • AI-assisted workflows
  • AI-enabled systems
  • AI-powered solutions
  • AI-based approaches

Other signals

  • AI/ML techniques and AI-assisted workflows to improve the scale, speed, and quality of ads measurement
  • 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
  • Define and own key success metrics for first-party measurement products; build tools and frameworks that enable teams and advertisers to make better decisions
  • Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org