Minimum qualifications:

• Master's degree in Statistics or Economics, a related field, or equivalent practical experience.
  
• 6 years of experience as a statistician, computational biologist, bioinformatician, data scientist, or product analyst.
  
• Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
  
• Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
  

Preferred qualifications:

• Experience in selecting the right statistical tools given a data analysis problem.
  
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
  
• Experience translating analysis results into business recommendations.
  
• Experience in understanding potential outcomes framework and have familiarity with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
  
• Knowledge of structural econometric methods.