Staff Data Scientist, Ads Delivery

Pinterest • Seattle, WA

18h • Remote

About The Position

Pinterest is looking for a Staff Data Scientist for their Ads Delivery team. This role will shape the future of people-facing and business-facing products at Pinterest, utilizing expertise in quantitative modeling, experimentation, and algorithms to solve complex engineering challenges. The Data Scientist will collaborate with cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and others on a wide array of product and business problems. The work will influence product development teams and introduce scientific rigor into real-world products serving hundreds of millions of users globally. Pinterest emphasizes AI as a partner and values candidates who can explain their approach and thinking process.

Requirements

• 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
• Deep expertise in Machine Learning (recommendation, ranking, prediction, experimentation).
• Deep expertise in Statistical Modeling & Causal Inference (observational and experimental data).
• Deep expertise in Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration).
• Programming in Python/R and advanced SQL/Spark.
• Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
• Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
• Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
• Track record mentoring and growing data talent at the staff/senior IC level.
• Cross-functional leadership and the ability to align competing interests towards shared goals.

Responsibilities

• Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
• Lead projects on Pinner LTV, tradeoff between ads and organic engagement, and Ads Delivery opportunities across different funnel stages.
• Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.
• Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
• Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.
• Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree