Staff Data Scientist, Ads Delivery
About The Position
At Pinterest, AI is a powerful partner that augments creativity and amplifies impact. We are looking for candidates excited to be part of this. This role involves shaping the future of people-facing and business-facing products at Pinterest. The Staff Data Scientist will utilize expertise in quantitative modeling, experimentation, and algorithms to solve complex engineering challenges. Collaboration will occur across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and other cross-functional partners. The work will influence and uplevel product development teams, introducing greater scientific rigor into real-world products serving hundreds of millions of users globally.
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.
- Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), 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.
- Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
Responsibilities
- Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
- Lead projects on 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.
Benefits
- Equity
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
