Master's degree in Statistics or Economics, or a quantitative discipline, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
PhD degree in a quantitative discipline (e.g., statistics, bioinformatics, computational biology, computer science, applied mathematics, or similar) or equivalent practical experience.
5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
3 years of experience in statistical specialty (e.g., causal inference, econometrics, generalized linear models, experiment design, bayesian statistics, advanced forecasting, machine learning, etc.).
Experience with statistical and quantitative modeling and forecasting, and with machine learning techniques.