Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
10 years of experience in data science, statistics, or in a computational biologist/bioinformatician role.
Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
Preferred qualifications:
Experience translating analysis results into business recommendations.
Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
Experience selecting tools to solve data analysis issues.
Experience articulating business questions and using available data to find a solution.