Staff Data Scientist, Ads Delivery

We're looking for a Staff Data Scientist to shape the future of people-facing and business-facing products at Pinterest. You will utilize your expertise in quantitative modeling, experimentation, and algorithms to solve complex engineering challenges. Your work will influence and uplevel our product development teams, introducing greater scientific rigor into real-world products serving hundreds of millions of users.

Responsibilities:

• Develop a deep understanding of 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.
• Collaborate across disciplines, 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.
• Bachelor's/Master's degree in a relevant field such as Computer Science.
• Deep expertise in machine learning, statistical modeling, causal inference, product analytics, and programming in Python/R and advanced SQL/Spark.
• Strong product intuition and ability to scope, question, and design solutions for ill-defined business problems.
• Scientific rigor and healthy skepticism.
• Exceptional communication skills.
• Track record mentoring and growing data talent.
• Cross-functional leadership and ability to align competing interests.

Benefits:

• Base salary range: $164,695-$339,078 USD.
• Eligible for equity.
• Flexible working model.