Responsibilities
- Develop a deep, nuanced understanding of 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, 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.
- Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
- 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.