Every decision about the Amazon's website and app affect the speed and reliability with which customers can browse and buy. Given this, how can we improve the customer experience by tailoring what we display on our pages based on performance? What types of performance matter the most to customers? How would the customer want us to trade-off performance and features? What is the relationship between the performance of the site to what the customer actually does on the site vs., what they actually buy? How do we do all of this without asking the customer a single question? Sounds fun?
The Amazon Latency and Performance team's mission is to "ensure customers are never frustrated by the performance of the Amazon Retail website and application". Our team strives to improve latency and performance of our retail site while better understanding how customers shop on Amazon. We build models to improve and explain the impact of performance on the shopping experience. You will work on extremely interesting problems in an environment where you get to learn from other experienced economists, applied scientists and software engineers to apply econometrics on a massive scale.
Using Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build models to generate recommendations, and work with engineers to implement these models to run the retail website. You will apply economic theory to solve challenging business problems in a fast moving environment using world-class data and data systems. You will have an enormous opportunity to make an impact on the design, architecture, and implementation of cutting edge products used every day by people you know. Economists at Amazon are expected to develop new techniques to obtain insights from large data sets, address quantitative problems, and contribute to the design of automated systems. If you would love to build, invent and pioneer on a high performance team that's passionate about operational excellence, then we want to talk to you.
· PhD in Economics, Statistics, Finance, or related field
· 3-5 years of experience in private consulting, government, or in academic research.
· Strong background in econometrics (specifically causal inference using panel data)
· Expert in the management, manipulation, and analysis of very large datasets
· Expert in predictive and causal ML methods
· Expert in data querying languages (e.g. SQL) and scripting languages (e.g. Python)
· Proven ability to work in a fast-paced business environment
· Strong research track record
· 1-3 years of relevant work experience in econometric modeling and analysis
· Ability to build econometric tools that can be applied in automated systems in collaboration with engineers
· Experience articulating business questions and using quantitative techniques to arrive at a solution using available data
· Proficiency with a statistical/mathematical software (e.g. R, Stata, Matlab)
· Effective verbal and written communications skills