Global Talent Management (GTM) at Amazon owns a suite of products which helps drive career development for hundreds of thousands of Amazonians across the world. GTM - Science utilizes a wide array of data sources to conduct analytics and create predictive models that fuel recommendations, actions, and insights in nearly a dozen software systems. The team itself is composed of a variety of scientists and engineers with varied backgrounds, coming together to create diverse and innovative solutions to the problems faced by the one of the world’s largest and fastest growing workforces.
This role will support a key project in GTM to define the methodology and model for measuring the Amazon performance bar and predicting key talent actions.
If you’re interested in building models that impact thousands of Amazonians, to inform talent management decisions, this role is for you. These are exciting fast-paced businesses in which work on extremely interesting analytical problems, in an environment where you get to learn from other experienced economists and apply econometrics at massive scale.
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.
· Build econometric and statistical models
· Work collaboratively with economists and other scientists to assist in the design and implementation of analysis to answer challenging HR questions
· Interpret and communicate results to outside customers
· Aggregate and analyze data pulled from disparate sources (HR, Finance or other business systems) and related industry and external benchmarks; provide insights and a point of view on analysis and recommendations
· Assist in the design and delivery of automated, scalable analytical models to stakeholders
· Report results in a manner which is both statistically rigorous and compellingly relevant
· PhD in Economics
· Two or more years of experience in a postdoctoral position; or, two or more years of experience in consulting, government or academic research.
· Effective verbal and written communications skills.
· Applicants with considerably more experience, including mid-career, are also strongly encouraged
· Strong background in statistics methodology, applications to business problems, and/or big data.
· Ability to work in a fast-paced business environment.
· Strong research track record.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation