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Economist

Job ID: 1826137 | Amazon Web Services, Inc.

DESCRIPTION

Job summary
The Central AWS Econ team is dedicated to bringing the most trustworthy evidence-based analysis to the most strategic decisions for AWS leadership.
Our studies impact strategic investments, service business model, resource allocation, product priorities and pricing models, go-to-market motions and more.

This economist role partners with AWS business leaders across the organization to define and deliver on economic questions that guide their most strategic decisions. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges and ambiguous starting points, and possesses strong communication skills to effectively interface and collaborate with product, finance, planning and business teams.


Specific questions include developing supporting economics for new business model, evaluating the relationship between short and long term growth, mapping and affecting the customer journey through different AWS products and cloud technologies.

The Central AWS Econ team is dedicated to answering these (and many more) questions using quantitative, economic and statistical methods.


Key job responsibilities
· Use economic theories to structure ambiguous problems
· Lead and conduct economic studies, including developing and communicating practical implications to senior leadership
· Mentor and develop junior economists and data scientists
· Develop new repeatable data analysis pipelines to be used by non-economists

BASIC QUALIFICATIONS

· PhD in Economics or closely related field

PREFERRED QUALIFICATIONS

· Relevant industry experience
· Applicants with considerably more experience, including mid-career, are also strongly encouraged.
· Proven experience in R, Python, or a related software
· Experience working with an interdisciplinary science and business team
· Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
· Ability to learn and implement new methods
· Ability to communicate relevant scientific insights from data to non-technical audience



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.