We are looking for detailoriented organized and responsible individuals who are eager to leverage state of the art econometrics tools and learn how to work with large and complicated data sets. Some knowledge of econometrics as well as basic familiarity with Python or Matlab is necessary and experience with SQL and UNIX would be a plus. This position is focused on forecasting and structural identification. Experience in Bayesian econometric modelling and handling large data sets would be an plus.
These are fulltime positions at 40 hours per week with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists scientists and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.
Roughly 85 of previous cohorts have converted to full time economist employment at Amazon. If you are interested please send your CV to our mailing list at:
PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
Experience with SQL Familiarity with UNIX Experience working with large data sets Knowledge of (Bayesian) econometrics Familiarity with Python or Matlab Attention to detail
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