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Senior Economist, Impact Intelligence - Cupertino, United States - Amazon
Description
The Impact Intelligence team solves economic problems related to pricing and promotions for Amazon's retail website. We are seeking an experienced, high-energy Economist to help envision, design and build the next generation of pricing systems and promotions models. You will work at the intersection of economic theory, statistical inference, and machine learning to design and implement in production new methods and pricing strategies to deliver game changing value to our customers.
Key job responsibilities
This position is perfect for someone who has a deep and broad analytic background, is passionate about using mathematical modeling and statistical analysis to make a real difference with the business systems that Amazon uses in pricing and promotions logic. You should be familiar with modern tools for data science and business analysis, have experience coding with engineers to put projects into production, and have an ability to communicate effectively with business leaders. We are particularly interested in candidates with research background in applied microeconomics, econometrics, and/or statistical inference.
A day in the life
-Discuss with business problems with business partners, product managers, and tech leaders
-Brainstorm with other scientists to design the right model for the problem at hand
-Present the results and new ideas for existing or forward looking problems to leadership
-Dive deep into the data
-Build working prototypes of models
-Work with engineers to implement prototypes in production
-Analyze the results and review with partners
About the team
We are a team of scientists who design and implement the analytics powering pricing for Amazons on-line retail business and for promotions systems. The team uses world-class machine learning and econometric modeling to make sure that prices and promotions at Amazon are aligned with Amazons customer-first mentality.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA | Seattle, WA, USA
Basic Qualifications
PhD in economics or equivalent
Preferred Qualifications
Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of data
Knowledge of Python or R
Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)
Experience working with software developers and product managers
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
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
