Sr. Staff Quantitative Product Researcher
Core
Lead the development and evolution of user-centered measurement across the consumer experience, partnering equally with Data Science and Engineering to guide metrics direction, validate surveys, and build behavioral proxies.
Role type
Sr. Staff Quantitative Product Researcher (User-Centric Measurement & ML Stewardship)
Builds
User-centered metrics, survey instruments, behavioral proxies, predictive models, and model evaluation frameworks for the Pinner experience.
Domain
Consumer Internet / Social Media / Quantitative Research / Machine Learning
Deliverable
production ML models | dashboards & analysis
Required skills
Survey methodology, statistical modeling, behavioral analysis, experimentation at scale, ML model evaluation and maintenance, R, Python, SQL, data visualization
Preferred skills
PhD in computational social science, statistics, computer science, or related field
Technologies
R, Python, SQL
Responsibilities
Define constructs and design/validate survey instruments; guide experimentation plans to prove metric movement; partner with DS/Eng to build behavioral proxies and predictive models; inform ML model retraining and evaluate generalizability across user segments; conduct deep-dive learning analyses to uncover drivers and levers; present findings to senior leadership; mentor junior quantitative researchers.
Seniority
Sr. Staff, hands-on IC with strategic mentorship
