Manager, Economist


The Internet of Things is revolutionizing industries and Amazon Web Services (AWS) IoT has emerged as a leading innovator in the interconnected device space. There will be over 50 billion connected devices in the next decade, and if you are fascinated by the endless possibilities unlocked when the power of cloud and ubiquitous connected devices are combined – from interactive smart buildings, autonomous mines, self-monitoring medical devices, precision agriculture and more, we have the right role for you.

What industries will be the first to adopt in the next year? In five? 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?

You will need to be a strong leader, able to communicate clearly and compelling at all levels of the company. You don't just want to be part of an industry movement; you want to be out front leading it. If this sounds like you, we'd like to speak with you.

These are among the most important questions at Amazon Web Services IoT 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.

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

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