Staff Data Scientist, Ads Delivery

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love.

We are looking for a Staff Data Scientist for our Ads Delivery team. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation, and algorithms will be utilized to solve some of the most complex engineering challenges at the company.

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.

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.

Benefits:

• The position is eligible for equity.
• Base salary range: $164,695-$339,078 USD.

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