As an Economist within Amazon Prime, you will work with our world-class business, economics, data science and engineering, and software development teams to propose and estimate novel statistical and econometric models to directly inform strategic decisions about characteristics of the Amazon Prime membership, including what membership prices, benefits, and benefit content deliver the most value for our customers around the world.
You will solve these problems using structural econometrics, causal inference, machine learning, and massively parallelized scientific computing, and work closely with our software development team to automate these models at scale in distributed computing infrastructures such as Apache Spark.
This position is unique in its exposure to senior members of the Prime team and other Amazon business units.
The successful candidate will be familiar and comfortable with building, estimating, and defending causal statistical models using software such as R, Python, or STATA, with a willingness to learn causal inference and structural econometrics and experience creating production systems.
Knowledge of SQL, machine learning, and large scale scientific computing using distributed computing infrastructures such as Spark-
Scala or PySpark would be a plus. Additionally, the candidate will need to demonstrate the ability to communicate complicated concepts clearly to business leaders and other scientists, the desire to develop large business impacts for customers using statistics and econometrics, and strong execution and completion skills for major, highly-
visible strategic projects under fast-paced business deadlines. The role involves both building data products, i.e. automated and productionized statistical models at scale, as well as supporting ad-
scale scientific / distributed computing.