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Facebook Research Scientist Demography Survey Science United States, California 497268177
10.06.2024
Our 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’ll own research end-to-end. This means you’ll navigate trade-offs while designing projects, proposing appropriate methodologies, analyzing data, and communicating results to diverse audiences in order to drive impactful decisions.
Research Scientist, Demography and Survey Science Responsibilities
- Develop a research agenda and drive research projects from end-to-end
- Collaborate with cross-functional teams across the company to define relevant research questions
- Design and deploy appropriate research methodologies to answer those questions
- Develop innovate new approaches to resolve challenging problems
- Provide teams with usable measurement strategies and methodologies to make better decisions
- Deliver insights and recommendations clearly to relevant audiences
Minimum Qualifications
- Bachelor's, Master’s or PhD 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
- At least 2+ years of post-graduation working experience
- Skilled in at least three or more of the following skills: statistical inference, survey methodology, regression modeling, exploratory data analysis, and experimental design
- Knowledge of statistical analysis and programming languages (such as R/Stata, Python, SQL/Hive)
- Experience communicating analyses and results to diverse audiences
- Experience initiating and driving research projects to completion with minimal guidance
- Demonstrated experience in designing original research to address complex questions
- 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 survey sampling and weighting
- 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)
- Familiarity with qualitative research (e.g., focus groups, interviews, cognitive walkthroughs)
Data Center
About Meta
$134,000/year to $204,000/year + bonus + equity + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about at Meta.
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