{"title": "Research Scientist, Demography and Survey Science (University Grad)", "level": "", "location": "Menlo Park, CA | Seattle, WA | New York, NY", "description": "The Demography and Survey Science team's mission is to improve the way we make decisions and measure impact both within and outside of Meta. We collect and analyze rich survey and behavioral datasets to understand new challenges, solve problems, and shape decisions. We are looking for quantitative social scientists with experience answering complex research questions to join us in this effort.\n\nOur interdisciplinary team includes those with expertise in statistical inference, survey methodology, causal inference and econometrics, regression modeling, exploratory data analysis, and mathematical demography, among other areas. In this role, you\u2019ll own research end-to-end. This means you\u2019ll navigate trade-offs while designing projects, proposing appropriate methodologies, analyzing data, and communicating results to diverse audiences in order to drive impactful decisions.\n\nStrong candidates may include social scientists, applied statisticians, or other applied researchers with expertise in quantitative research methods, experience working with large datasets and relational databases, and experience with survey methodology (e.g., bias correction, sampling). We are looking for candidates who can demonstrate methodological rigor, strong communication skills, and the ability to make research design choices that balance competing tradeoffs effectively.", "salary": "US$109,000/year to US$171,000/year + bonus + equity + benefits", "key_qualifications": "Currently has, or in the process of, obtaining a(n) Master\u2019s in 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.\nSkilled in at least three or more of the following skills: statistical inference, survey methodology, regression modeling, exploratory data analysis, and experimental design.\nKnowledge of statistical analysis and programming languages (such as R/Stata, Python, SQL/Hive).\nExperience communicating analyses and results to diverse audiences.\nExperience initiating and driving research projects to completion with minimal guidance.\nDemonstrated experience in designing original research to address complex questions.\nMust 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).\nExperience with Bayesian statistical models.\nExperience with primary data collection.\nExperience with survey sampling and weighting.\nExperience 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).\nFamiliarity with qualitative research (e.g., focus groups, interviews, cognitive walkthroughs).", "responsibilities": "Develop a research agenda and drive research projects from end-to-end.\nCollaborate with cross-functional teams across the company to define relevant research questions.\nDesign and deploy appropriate research methodologies to answer those questions.\nDevelop innovative new approaches to resolve challenging problems.\nProvide teams with usable measurement strategies and methodologies to make better decisions.\nDeliver insights and recommendations clearly to relevant audiences.", "company": "meta"}