Strong background in statistical and quantitative methodology for the social sciences, including experimental and quasi-experimental design for causal inference, multilevel/hierarchical modeling, longitudinal data analysis, measurement theory and psychometrics, and predictive analytics. Experience in at least 3 of the following areas: Research, Education, Public Health, Psychology, Social Policy, Sociology, Statistics, Program Evaluation, Technical expertise: Business Intelligence, Reporting, Dashboarding / Visualizations, Data Science, Analytics, Programming.