3+ years of industry, consulting, government, or academic research experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
USA, CA, LOS ANGELES - 136,000.00 - 184,000.00 USD annually
USA, CA, SAN FRANCISCO - 157,300.00 - 212,800.00 USD annually
USA, CA, SANTA CLARA - 157,300.00 - 212,800.00 USD annually
USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually
USA, MA, BOSTON - 136,000.00 - 184,000.00 USD annually
USA, NY, New York - 157,300.00 - 212,800.00 USD annually
USA, TX, AUSTIN - 136,000.00 - 184,000.00 USD annually
USA, VA, ARLINGTON - 136,000.00 - 184,000.00 USD annually
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
Additional Information
Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's 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 either a cross-functional team embedded within a business unit or a central science and economics organization. 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.
Amazon.com · Seattle, WA