Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations.
Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas.
You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment.
Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online.
We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.
About the team
The SCOT Lab (Supply Chain Optimization Technology Lab) team is responsible for designing and implementing systems to measure the impact of SCOT initiatives.
We're currently seeking an economist to drive innovation within SCOT, which involves developing novel scientific approaches and advancing our system further upstream in the innovation process.
We are open to hiring candidates to work out of one of the following locations :
Bellevue, WA, USA
BASIC QUALIFICATIONS
- PhD in economics or equivalent
- Familiar with various experimental designs and their applications
PREFERRED QUALIFICATIONS
- Experience in building analytic or scientific data products or solutions
- Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)
- Experience in building statistical models using R, Python, STATA, or a related software
- Experience working with software developers and product managers
- Experience in industry, consulting, government or academic research