Amazon strives to be Earths most customercentric company where customers can shop in our stores to find and discover anything they want to buy. We hire the worlds brightest minds offering them a fast paced technologically sophisticated and friendly work environment.
Economists at Amazon partner closely with senior management business stakeholders scientist and engineers and economist leadership to solve key business problems ranging from Amazon Web Services Kindle Prime inventory planning international retail third party merchants search pricing labor and employment planning effective benefits (health retirement etc. and beyond.
Amazon Economists build econometric models using our world class data systems and apply approaches from a variety of skillsets applied macro/time series applied micro econometric theory empirical IO empirical health labor public economics and related fields are all highly valued skillsets at Amazon. You will work in a fast moving environment to solve business problems as a member of crossfunctional team embedded within a business unit. You will be expected to develop techniques that apply econometrics to large data sets address quantitative problems and contribute to the design of automated systems around the company.
About the team QuBIT Science (Midas team) is revolutionizing datadriven decisionmaking across Amazons operations. We specialize in delivering swift scientifically rigorous solutions that often fall outside the immediate scope of larger central science organizations.
We are currently seeking an economist to join our team. The ideal candidate will have expertise in causal inference causal discovery and prediction modeling. The successful applicant will be passionate about executing endtoend science projects applying advanced scientific methods to operational data to solve complex business challenges. This role offers a unique opportunity to directly impact Amazons operational efficiency through applied economic analysis.
PhD in economics or equivalent
2 years of industry consulting government or academic research experience Knowledge of at least one statistical software package such as R Stata Matlab SAS Experience in implementing modern machinelearning methods (e.g. boosted regression trees random forests neural networks) Experience with handling of large datasets Experience in prediction and forecasting in a research or industrial environment Experience in data mining (SQL ETL data warehouse etc. and using databases in a business environment with largescale complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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