Staff Data Scientist

Who you are

• 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

What the job involves

• We are looking for a Staff Data Scientist for our Ads Delivery
• 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
• You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others
• The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world
• 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