Staff Data Scientist - Content Growth & Creator Strategy

Role overview Staff-level Data Scientist role focused on accelerating execution for priority content investments and raising the quality of product decision-making. The position owns end-to-end analytics for emerging content surfaces such as Video, Groups, and Events—areas with limited historical data—while shaping data architecture and statistical methodology across the broader content portfolio. It is a hands-on technical leadership role embedded within a product organization, partnering closely with product, engineering, design, and research stakeholders.

Responsibilities - Lead end-to-end data science ownership for new content surfaces, including evaluating feature performance, identifying growth opportunities, and connecting insights across surfaces for portfolio-level impact - Design and measure experiments, including non-standard A/B tests and network experiments with bias controls, to inform feature and investment decisions - Generate strategic insights through exploratory data analysis to shape future investments or pivots in strategy - Build and evolve the data architecture and quality requirements for content data assets spanning supply, creators, viewers, entities, content types, and surfaces, partnering with Analytics Engineering on source-of-truth tables - Develop scalable metrics, dashboards, and artifacts that enable reliable, agentic analytics and faster team decision-making - Restore and apply rigorous methodology around quasi-experiments and advanced causal inference to distinguish true product impact from confounding factors

Requirements - Staff-level or tech lead experience as a Data Scientist, ideally in social media or consumer technology - Master's degree or Ph.D. in Statistics - Demonstrated expertise in non-randomized A/B testing, network testing, and advanced causal inference methods - Experience owning end-to-end product analytics, from opportunity identification and strategy through launch and measurement - Strong cross-functional collaboration skills with Product, Engineering, and adjacent partners, plus the ability to operate as an autonomous technical leader - Expert proficiency in SQL and Python, including scientific computing packages such as numpy, pandas, and scikit-learn - Excellent communication skills, with the ability to explain complex analyses to executives and varied audiences

Benefits and work setup - Base salary range of approximately $190,000 to $283,000 annualized, depending on skills, experience, qualifications, proficiency level, and geographic location - Meaningful equity grant with quarterly vesting, beginning within roughly three months of start date - Choice of health plans, including an option that is fully covered for employees only, plus a concierge-style primary care membership - Hybrid work model blending in-office and remote time, with offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London