Job Description

The Demography and Survey Science team at Meta seeks quantitative social scientists to improve decision-making and impact measurement through survey and behavioral data analysis. Candidates will design and execute research projects, employing various quantitative methodologies to address complex questions and communicate findings effectively.

Requirements

Experience communicating analyses and results to any audience
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)
Demonstrated experience in designing original research to address complex questions
Bachelor’s degree with 22+ years of relevant experience, Master’s degree and 20+ years relevant experience, or a PhD and 15+ years of relevant experience

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

Benefits

Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.