In this exciting charter, you will use economic principles and econometrics to foster and drive innovations for some of Amazon's flagship programs, including Prime, Amazon Points, and Deal Events (e.g., Prime Day).
Amazon has a trailblazing track record of working with Ph.D. economists in the tech industry and offers a unique environment for economists to thrive.
As an economist at Amazon, you will apply the frontier of econometric and economic methods to Amazon's terabytes of data and intriguing customer problems.
Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves.
In this role, you will work with a diverse team of product and science talents to identify business opportunities and build best-in-class econometric models to address them.
As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon's economist community in Asia.
The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields.
Key job responsibilities
Work with Product, Finance, Data Science, and Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches.
Innovate on how Amazon can leverage data analytics to improve customer growth and engagement.
Contribute to building a strong data science community in Amazon Asia.
Basic Qualifications
Ph.
D. degree in Economics, Quantitative Marketing, Information Systems, or Operations Research.
4+ years in post-doctoral work experience.
Preferred Qualifications
Expert knowledge and proven track record in empirical industrial organization and/or reduced-form causal inference.
Experience in data analytics in a B2C industry (e.g., consumer/retail/retail financial services/telecoms/media).
Experience with big data tools such as Scala, PySpark, AWS products.
Experience with machine learning models and their applications in the Tech industry.
Publications in world renowned scientific journals.
Excellent in using non-technical yet precise languages, verbally and in writing, to communicate complex analytical subjects with business stakeholders.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.
If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Company - Amazon Japan G.K.
Job ID:
A2950779
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