“It’s All About the Long Term” is one of the key themes in the very first shareholder letter of Amazon (https://s2.q4cdn.com/299287126/files/doc_financials/annual/Shareholderletter97.pdf). Long term thinking and decision making , along with customer obsession, has been in Amazon’s DNA from the very beginning. Customer Forecasting & Valuation owns the primary decision metrics at Amazon, leveraging causal machine-learning models to predict the long-term (downstream) impact of customer actions and business decision. These metrics form the foundation of decision taken by an exponentially increasing number of decision makers, both humans and systems, on a day to day basis.
Inferences produced by our systems are used both in real-time systems (such as ads bidders and content recommendation systems) as well as in financial planning activities. In order to serve the wide variety of and rapidly evolving decision contexts throughout Amazon, our models have to work with an ever-increasing volume and complexity of data and at the same time provide inferences with reliability and low-latency.
Engineering robust large-scale Machine Learning Systems presents some unique challenges such as reproducibility and explainability of results, agility and experimentation to evolve rapidly, no-loss translation from experiments to production. We in Customer Forecasting & Valuation are working to tackle these problems as we evolve the next generation of Causal Machine Learning Systems.
Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
· PhD in Economics or closely related field
· Applicants with considerably more experience, including mid-career, are also strongly encouraged.
· Background in statistics methodology, applications to business problems, and/or big data.
· Ability to work in a fast-paced business environment.
· Research track record.
· Effective verbal and written communications skills.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation