Staff Data Scientist, Engagement Ecosystem jobs in United States
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Pinterest Engineering · 2 months ago

Staff Data Scientist, Engagement Ecosystem

Pinterest is a platform where millions seek creative ideas and inspiration. They are looking for a Staff Data Scientist to shape the future of their engagement ecosystem, utilizing expertise in quantitative modeling and algorithms to solve complex engineering challenges.

Computer Software
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H1B Sponsor Likelynote

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 (e.g., saving, repinning, board creation) as they relate to downstream business outcomes
Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries
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

Qualification

Machine LearningStatistical ModelingCausal InferencePython/R ProgrammingAdvanced SQL/SparkProduct AnalyticsCross-functional LeadershipMentoring Data TalentScientific RigorExceptional Communication

Required

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
Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences)

Company

Pinterest Engineering

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Pinterest's mission is to bring everyone the inspiration to create a life they love.

H1B Sponsorship

Pinterest Engineering has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (377)
2024 (311)
2023 (215)
2022 (314)
2021 (202)
2020 (166)

Funding

Current Stage
Late Stage

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