About the company
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Responsibilities
- 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.
Requirements
- 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.
Conditions
- 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.
- The position is also eligible for equity.
- US based applicants only.