[Remote] Staff Data Scientist, Engagement Ecosystem

Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that inspires creativity and innovation, and they are seeking a Staff Data Scientist for their Engagement Ecosystem. This role involves leveraging quantitative modeling and experimentation to tackle complex engineering challenges and collaborating with cross-functional teams to enhance product development and user engagement.ResponsibilitiesDevelop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risksLead 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 (e.g., saving, repinning, board creation) as they relate to downstream business outcomes. Designing and evaluating interventions that sustainably boost enterprise metrics across product boundariesDesign and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inferenceAdvocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impactCollaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insightsMentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellenceUse advanced ML, causal inference, and generative AI techniques to model and explain complex interactions across the Pinterest ecosystem (e.g., organic engagement, ads, content quality, monetization), turning highly ambiguous business questions into clear, testable hypotheses and decision frameworks for Core and Monetization leadershipApply AI-assisted analysis and developer tools (e.g., copilot, intelligent dashboards) to accelerate exploration, improve code quality, and scale insight generation, ensuring we can quickly evaluate tradeoffs like ad load vs. Pinner engagementChampion responsible and scientifically rigorous use of AI across the ecosystem, setting best practices for instrumentation, experimentation, and metric design so that AI-driven changes balance engagement, revenue, and long-term user trustSkills10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analyticsDeep 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/SparkStrong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problemsScientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomesExceptional communication: You make the complex simple, and can influence both technical and non-technical audiencesTrack record mentoring and growing data talent at the staff/senior IC levelCross-functional leadership and the ability to align competing interests towards shared goalsProven track record applying machine learning and/or causal inference to complex, ambiguous product or marketplace problems at scale (e.g., ads, recommendations, multi-sided ecosystems), from problem framing and experimental design through to influencing senior stakeholders and driving product or policy decisionsHands-on experience with modern AI/ML tools and workflows (such as PyTorch, TensorFlow, scikit-learn, or similar, plus LLM-based assistants or copilots) and comfort rapidly adopting new AI capabilities into day-to-day analysis, prototyping, and experimentation workflowsMasters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences)BenefitsThe position is also eligible for equity.Information regarding the culture at Pinterest and benefits available for this position can be found here.Company OverviewPinterest is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.pinterest.com/.