The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.

This position will develop economic frameworks for selecting products into customer consideration sets, develop a theoretic framework of the search process and customer frictions that lends to policy evaluation, and create frameworks for coordinating product discovery with other marketplace decision systems like ordering, pricing, and delivery optimization.

The ideal candidate will have outstanding Economics knowledge, demonstrated strength in practical and policy relevant structural econometrics, strong collaboration skills, proven ability to lead highly ambiguous and large projects, and a drive to deliver results. They will work closely with Economists, Data / Applied Scientists, Engineers, and Product leads to integrate economic insights into policy and production systems Familiarity with informational retrieval and recommender systems is a plus but not required.


Key job responsibilities
This role is responsible for creating mechanisms (metrics, models, mechanism) that optimize search while accounting for effects on the entirety of the Amazon Stores. Some example projects include:

* Develop an economic frameworks for selecting products into customer consideration sets. Utilizing demand estimation, internalizing spillovers (e.g. menu effects), and incorporating long term effects on customer beliefs. We want to embed economics into state of the art list-wise ranking models.
* Develop a means of valuing newly launched products and how the impact all aspects of the experience (prices, brand awareness, or even referential utility).
* Develop a theoretic framework of the search process with a valuation of customer frictions that lends to evaluation of changes in the experience (aka a “search/browse model”)
* Create frameworks for coordinating product discovery with other marketplace decision systems like ordering, pricing, and delivery optimization.