Research Scientist Intern, Demography and Survey Science
Facebook
Job Info
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.
- 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
- Currently has, or is in the process of obtaining, a(n) 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
- 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
- Intent to return to degree-program after the completion of the internship/co-op
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.
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