Staff Data Scientist, Ads Delivery

we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

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.

- 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

- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

- This role will need to be in the office for in-person collaboration 1-2 times per week and therefore needs to be in a commutable distance to the following offices: San Francisco, Palo Alto or Seattle.

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.