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Job ID 
Posted Date 
Amazon Corporate LLC
Position Category 
Recruiting Team 

Job Description

Where will Amazon Web Services' growth come from in a year? In five? Which product lines are staged to quintuple in size, and which ones are mature? Are we investing enough in our infrastructure, or too much? Which next generation products do we invest in, and how will that help drive more downstream revenue on existing products?

These are among the most important questions at Amazon Web Services today. The Amazon Web Services team is looking for innovative, passionate and results-oriented Economists to answer these questions. A successful candidate will be able to formalize problem definitions from ambiguous requirements, build econometrics models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems.

Amazon Web Services is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services – now widely known as cloud computing – based on Amazon’s own back-end technology platform.

Key Responsibilities
  • Develop new econometric models or improve existing approaches using scalable techniques
  • Extract data for analysis and model development from large, complex datasets
  • Apply economic theory to solve business problems in a fast moving environment
  • Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders
  • Drive innovation and best practices in applied research across the Amazon research science community
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

  • PhD in Economics
  • 5+ years of experience in industry, consulting, government or academic research
  • Expertise in applied time series, empirical industrial organization, or applied microeconomics
  • Fluency in at least one statistical software package such as R, Stata, Matlab

Preferred Qualifications

  • Applicants with considerably more experience, including mid-career, are also strongly encouraged
  • Strong background in statistics, machine learning, applications to business problems, and/or big data
  • Experience with programming languages such as Python, Java, C++, experience with SQL and / or working in a Unix / Linux environment is a plus
  • Ability to work in a fast-paced business environment
  • Strong research track record
  • Outstanding verbal and written communications skills