Master's in a Social Science field (Economics, Sociology, Psychology, Public Policy) with a heavy quantitative focus, OR a degree in Data Science/Statistics with significant experience in social research.
Proficiency in R or Python for data manipulation and statistical analysis.
Strong command of SQL for querying complex databases.
Experience with causal inference, longitudinal data analysis, and econometrics.
Proven track record of designing surveys, handling "messy" real-world data from emerging markets, and working with impact evaluation frameworks.
Ability to explain a "p-value" to a teacher and "youth agency" to a software engineer.
A deep passion for education reform, youth empowerment, and the development landscape in East Africa.
Fits our Five Cultural Tenets (see What is Educate! About? below)
GK
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