Facebook Quantitative Researcher, Demography and Survey Sciences in Menlo Park, California
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
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. This position is based full-time in our Menlo Park, CA office.
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
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
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
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com or you may call us at +1 650-308-7837.