Job Information
Amazon Economist-Topline Forecasting, Topline Forecasting in New York, New York
Description
Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Economists to answer these questions. You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements, build econometrics models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems.
Key job responsibilities
· Develop new econometric models or improve existing approaches using scalable techniques.
· Extract data for analysis and model development from large, complex datasets.
· Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.
· Apply economic theory to solve business problems in a fast moving environment.
· Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
· Drive innovation and best practices in applied research across the Amazon research science community.
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA
Basic Qualifications
PhD in Economics, Quantitative Marketing, Finance, or closely related field.
Preferred Qualifications
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 prediction and forecasting in a research or industrial environment
Experience with handling of large 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.