Das ist der Job
We are looking for a Staff Data Scientist for our Ads Delivery.
Darum lohnt es sich
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. 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. What you’ll do Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
Lead projects on: Pinner LTV Tradeoff between ads and organic engagement 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,
