Senior Staff Quantitative Product Researcher

Lead the end-to-end development of user-centered metrics, including construct definition, survey design and validation, reliability and sensitivity testing, experimentation planning, and behavioral proxy or predictive model development Extend measurement work into model stewardship by informing retraining decisions, evaluating generalizability across user segments, and stress-testing model limitations Conduct deep-dive learning analyses to identify drivers and levers behind key metrics Translate analyses into actionable direction for product and Data Science partners Set and execute the learning agenda across a broad problem space Partner as an equal with Data Science and Engineering to shape measurement work Synthesize behavioral analyses, experiment results, qualitative insights, and research findings to inform product and business decisions Present findings to senior leadership Partner with research managers to set quantitative research direction and mentor junior quantitative researchers Requirements 7+ years of quantitative user research experience with large-scale consumer data Track record leading metric development end-to-end, from construct definition through survey validation, experimental validation, and behavioral proxy or predictive modeling Deep expertise in survey methodology, including construct validity, reliability, and sensitivity Expertise in statistical modeling, experimentation at scale, and behavioral analysis Experience informing ML model evaluation and maintenance, including retraining triggers, segment generalizability, and failure modes Fluency in R or Python and SQL Strong data visualization skills Ability to operate as a peer to Data Science and Engineering and guide technical work direction Experience working horizontally across teams, developing strategy with cross-functional partners, and presenting to senior leadership Experience leveraging AI tools in the research process with discernment and a high quality bar PhD in a computational social science, statistics, computer science, or related field preferred, or equivalent practical experience Demonstrates extensive expertise in quantitative user research, statistical modeling, and survey methodology, with a strong ability to translate complex analyses into actionable insights for product and business decisions. Proficient in collaborating with cross-functional teams, including Data Science and Engineering, to drive measurement strategies and mentor junior researchers. Highest-signal resume keywords Quantitative User Research Statistical Modeling Survey Methodology R or Python and SQL Data Visualization ATS Optimization Keywords Hard Skills Metric Development Construct Definition Survey Validation Experimental Validation Behavioral Proxy Modeling Reliability Testing Sensitivity Testing Machine Learning Model Evaluation Behavioral Analysis Deep-Dive Learning Analyses Soft Skills Collaboration Mentoring Presentation Skills Strategic Development Certifications & Qualifications PhD in Computational Social Science PhD in Statistics PhD in Computer Science Industry Keywords Consumer Data User-Centered Metrics Experimentation Planning Model Stewardship Cross-Functional Partnerships Tools & Technologies AI Tools Data Visualization Tools #J-18808-Ljbffr Jobtailor