Advertising Finance at Amazon.com is seeking an exceptional Economist to join us. The most important question the Economics and Science team trying to answer includes: What are the long-term impacts of our initiatives? Where will Advertising’s growth come from in the next year? How big the Advertising business become over the next three years? Which widgets are poised to quintuple in size? What are the interactions between consumer and Ads business?
We’re building a team to answer these questions using economics methods. This Economist role will collaborate directly with other economists, data scientists, financial managers and engineers to build accurate predictive models, estimate program impacts, and will have exposure to senior leadership as we communicate results and provide scientific guidance to the business.
A successful candidate will be a problem solver who excels in translating broad business problems into specific analytics projects, enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interact with the business teams.
This role is open to the following locations: Los Angeles, Seattle, San Francisco, Washington DC/Arlington, VA.
Key job responsibilities
Collaborate with economists, data scientists, financial managers, and business leaders to define product requirements, provide science support, and communicate feedback.
Implement economics methods to solve specific business problems utilizing code (Python, R, Scala, etc.).
Improve existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
Presenting data in a format that is immediately useful to answer the critical business questions.
PhD in Economics, Quantitative Marketing, Finance, or closely related field.
2+ years of experience in industry, consulting, government or academic research
Solid causal inference knowledge and outstanding economics analysis skills.
Experience working with very large, disparate data sets and big data tools such as Spark.
Proficiency in one or more production languages (Python, Scala, Java, C++)
Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams and business audiences.
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.
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