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The Demography and Survey Science team’s mission is to improve the way we run surveys and make decisions both within and outside of Facebook. We are looking for quantitative social scientists with experience in applied research in survey methodology, statistical inference, regression modeling, exploratory data analysis, and mathematical demography. With more than a million survey responses daily, you will help teams differentiate the signal from the noise, and provide them with the information and insights they need to make better, more informed product decisions. You will enjoy getting unique access to several of the richest data sets in the world, cutting edge technology and the ability to solve novel problems and provide innovative and methodologically rigorous research across the company.

The perfect candidate will have a background in a social science, quantitative or technical field and experience working with large data sets and relational databases. You are focused on results, a self-starter, and have superior analytical, computational, and communication skills.

Research Scientist, Demography and Survey Science – University Grad Responsibilities

  • Apply your expertise in quantitative analysis, survey methodology, and the presentation of data to see beyond the numbers and understand how to effectively direct products to better serve their users
  • Provide teams with usable measurement strategies and methodologies to meet their product and business decision needs
  • Inform, influence, support, and execute research projects used throughout Facebook to drive product and company decisions
  • Deliver insights and recommendations clearly to relevant audiences

Minimum Qualifications

  • Currently has, or in the process of, obtaining a(n) Masters or PhD in statistics, political science, sociology, economics, demography, computational social sciences or related field, and experience with applied problems in survey research
  • Experience in applying at least one of the following in your research: survey methodology (e.g., bias correction, sampling and design), quantitative research methods or statistical analysis, regression modeling, causal inference with a survey outcome, shrinkage and regularization, designing and analyzing longitudinal panel surveys, behavioral data analysis
  • Experience with data analysis using tools such as R or Python and with SQL
  • Experience initiating and driving research projects to completion with minimal guidance
  • Experience communicating the results of analyses
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • Experience with large data sets and distributed computing (Hive/Hadoop)
  • Experience with Bayesian statistical models
  • Experience with primary data collection
  • Experience with field experiments, experimental design, missing data, survey sampling, and/or panel data
  • Experience with observational causal inference (e.g., regression adjustment, matching, propensity score stratification), or quasi-experimental methods (e.g., instrumental variables, regression discontinuity, interrupted time series)
  • Experience with bandit optimization, adaptive experimentation, and/or Gaussian processes