Staff Data Scientist, Ads Delivery

About the role

Pinterest is a platform where millions of people discover creative ideas, dream about new possibilities, and plan memorable moments. We're passionate about using technology to help people live the lives they love. Join us to be part of a team that uses AI to enhance our products and make a difference.

What You’ll Do

• Develop a deep understanding of Pinterest's ads delivery, analyzing full-funnel opportunities and risks.
• Lead projects on Pinner Lifetime Value (LTV), tradeoffs between ads and organic engagement, and ads delivery opportunities across different stages of the funnel.
• Design and implement robust, scalable machine learning and evaluation frameworks, covering forecasting, recommendation, and causal inference.
• Advocate for best practices in experimentation, instrumentation, and metric design, bridging short-term metrics with long-term business impact.
• Collaborate with cross-functional teams, translating complex data questions into actionable insights.
• Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.

What We’re Looking For

• 10+ years of hands-on experience in web-scale data environments, solving complex, ambiguous problems in product, engagement, or ecosystem analytics.
• Deep expertise in machine learning, statistical modeling, product analytics, programming in Python/R, and advanced SQL/Spark.
• Strong product intuition, ability to scope, question, and design solutions for high-impact business problems.
• Scientific rigor and healthy skepticism, challenging assumptions and driving robust, reproducible outcomes.
• Exceptional communication skills, simplifying complex issues and influencing both technical and non-technical audiences.
• Track record of mentoring and growing data talent at the staff/senior IC level.
• Cross-functional leadership and the ability to align competing interests towards shared goals.

Qualifications

• Bachelor’s/Master’s degree in Computer Science or equivalent experience.
• Experience with web-scale data environments.
• Hands-on experience in solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
• Expertise in machine learning, statistical modeling, and product analytics.
• Programming proficiency in Python/R and advanced SQL/Spark.
• Strong product intuition and ability to translate complex data questions into actionable insights.
• Experience advocating for best practices in experimentation, instrumentation, and metric design.
• Track record of mentoring and growing data talent.
• Cross-functional leadership and the ability to align competing interests towards shared goals.

Benefits

The position is eligible for equity and offers a competitive salary range of $164,695—$339,078 USD. Final salary is determined based on location, travel, relevant prior experience, or particular skills and expertise. For more information about the culture at Pinterest and benefits, visit our website.