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, specifically solving complex engineering challenges in the Engagement Ecosystem
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
- 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
Responsibilities
- Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks
- Lead projects on: Tradeoffs between organic engagement and advertising, Deep dives on how engagement metrics impact monetization and retention, Understanding and predicting the value of core behaviors as they relate to downstream business outcomes
- 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
- Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries
Other
- Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences)
- Cross-functional leadership and the ability to align competing interests towards shared goals
- In-office collaboration 1-2 times/quarter
- US based applicants only
- Relocation is not eligible for relocation assistance
