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Description

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL and UNIX would be a plus.

These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.

Roughly 85% of previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. (economics-research-assistantship@amazon.com)

Key job responsibilities

• Apply your expertise in econometrics and causal inference modeling to develop new models, or enhance existing ones, that describe how Amazon’s marketing campaigns impact customers’ actions

• Strong desire to deal with large and complex data sets in order to translate how data represents the customer journey

• Collaborate effectively with other economists, scientists, and management

• Review and audit modeling processes and results with peers

• Work with management to align scientific developments with the business strategy

• Identify new opportunities that are suggested by the data insights

• Develop and document scientific research to be shared with the greater science community at Amazon

A day in the life

You will join a highly collaborative and diverse working environment that will empower you to shape the future of strategic investment decisions at Amazon, and also allow you to become part of the large science community within the Customer Behavior Analytics (CBA) organization. We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of and Causal Inference, Big-Data analytics, and Machine/Deep Learning. A successful candidate will be a self-starter, comfortable with ambiguity, and able to think big and be creative, while still paying careful attention to detail.

About the team

Customer Forecasting and valuation team (CFV) works with the intersection of economics, statistics and machine learning; and leverage the power of big data to solve complex problems like long-term causal effect estimation. The team builds econometric models to value investments in the long-term.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA | Sunnyvale, CA, USA

Basic Qualifications

• PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)

Preferred Qualifications

• Experience with SQL

• Familiarity with UNIX

• Experience working with large data sets

• Knowledge of econometrics

• Familiarity with Python

• Attention to detail

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $49.66/hr in our lowest geographic market up to $96.63/hr 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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.