EU Prime Economist

Job description

DESCRIPTION

Salary: competitive
Job posted: September 27th, 2019
Closing date: October 26th, 2019
Location: London

The European Amazon Prime team is looking for a talented Economist to help manage our ever growing information needs and support analysis of increasingly complex business questions. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos and music, in the US as well as an expanding number of international marketplaces. At Amazon you will be working in one of the world's largest and most exciting big-data environments. The Economist role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management.

Key Responsibilities

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-hoc strategic decisions.

The successful candidate will have the opportunity to work directly with our Prime teams in Luxembourg, London, Paris, Milan, Munich and Madrid as well a partner closely with our WW Teams in Seattle, Japan and India.

Desired profile

BASIC QUALIFICATIONS

· Must have PhD in Economics
· Must have experience in large scale recommendation services and marketing campaigns
· Must have experience in e-commerce environment
· Must have experience in Python, Stata and/or Scala
· Must have experience in machine learning
· Must have a proven record of bringing high impact statistical models to production, at scale
· Must have the ability to communicate relevant scientific insights from data to senior business leaders.