Meta's Demography and Survey Science team aims to improve decision-making and impact measurement by collecting and analyzing survey and behavioral data to understand challenges, solve problems, and shape decisions.
Requirements
Knowledge of data manipulation and analysis software and programming languages (R/Stata, SQL/Hive)
Knowledge of quantitative and survey research methodologies (e.g., bias correction for surveys, survey sampling and design, regression modeling, causal inference with a survey outcome, shrinkage and regularization, designing and analyzing longitudinal panel surveys, behavioral data analysis)
Demonstrated experience in designing original research to address complex questions
Expertise with weighting/bias correction for surveys and survey sampling
Expertise with time series analysis and/or repeated cross-sectional analysis
Familiarity with R and SQL for statistical analysis
Generally solid quantitative research skills such as: linear regression, maximum likelihood estimation (e.g., logistic regression, probit), causal inference
Responsibilities
Help shape the research agenda and drive research projects from end-to-end
Collaborate with product teams to define relevant questions about survey methodology and quantitative measurement
Deploy appropriate quantitative methodologies to answer those questions
Develop novel approaches where traditional methods won’t do
Provide teams with usable measurement strategies and methodologies to meet their product and business decision needs
Deliver insights and recommendations clearly to relevant audiences
Other
Experience communicating analyses and results to any audience
Experience making research design choices that balance competing tradeoffs effectively
Demonstrated communication skills
Bachelor’s degree with 22+ years of relevant experience in user experience, applied research, product research and/or development, Master’s degree and 20+ years relevant experience, or a PhD and 15+ years of relevant experience
Experience translating often abstract stakeholder requests into actionable research plans
