Facebook Research Scientist, Demography and Survey Sciences in Little Rock, Arkansas
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.
To succeed, we need to measure and understand the impact our teams are having for the people and communities who use our apps and services. We’re looking for people with strong quantitative research skills to help in this effort. The ideal candidate will be a social scientist with expertise in survey methodology (e.g., bias correction, sampling) and quantitative research methods or a quantitative specialist with experience solving survey methodology problems (especially for self-administered online surveys).
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
Experience communicating analyses and results to any audience
Master’s or Ph.D. in the social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questions
Knowledge in data manipulation and analysis software and programming languages (R/Stata, SQL/Hive)
Knowledge in 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)
- Experience with Unix, Python, and large datasets
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. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at email@example.com.
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