Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast-paced, technologically sophisticated, and friendly work environment. Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real-world problems? Do you want to play a key role in the future of Amazon's Retail business? This job is for you!
The Customer Behavior Analytics (CBA) team at Amazon is responsible for the architecture, design, and implementation of tools used to understand customer behavior and value generation for all Amazon programs. Our vision is to ensure that every decision at Amazon is customer-obsessed and maximizes long-term free cash flow (LTFCF). To achieve this, we build the best, unbiased, and most trusted measures of incremental customer long-term value and make them universally adopted as the company standard for customer-obsessed decisions. Come and join us!
Amazon’s CBA team is looking for Economists who can work at the intersection of economics, statistics, and machine learning, leveraging the power of big data to solve complex problems like long-term causal effect estimation.
Key Job Responsibilities
Economists at Amazon are expected to work directly with other Economists and senior management on key business problems 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, build trust in the techniques with rigorous science and validation, address quantitative problems, and contribute to the design of automated systems around the company.
Minimum Requirements
- PhD in economics or equivalent
- Experience in analytics and applied economics
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in building statistical models using R, Python, STATA, or a related software
- Experience in industry, consulting, government, or academic research
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 this link .
Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit this link . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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