Improve the way Meta makes decisions and measures impact by collecting and analyzing rich survey and behavioral datasets to understand new challenges, solve problems, and shape decisions.
Requirements
- Knowledge of data manipulation and analysis software and programming languages (R/Stata, SQL/Hive)
- Knowledge of 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)
- Demonstrated experience in designing original research to address complex questions
- Expertise with weighting/bias correction for surveys and survey sampling
- Expertise with time series analysis and/or repeated cross-sectional analysis
- Familiarity with R and SQL for statistical analysis
- Generally solid quantitative research skills such as: linear regression, maximum likelihood estimation (e.g., logistic regression, probit), causal inference
Responsibilities
- 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
- Analyze data
- Communicate results to broad audiences in order to drive impactful decisions
- Own research end-to-end
- Navigate trade-offs while designing projects, proposing appropriate methodologies
Other
- 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
- Experience communicating analyses and results to any audience
- Demonstrated communication skills
- Experience making research design choices that balance competing tradeoffs effectively
