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 economist employment at Amazon. If you are interested, please send your CV to our mailing list at [email protected]. ([email protected])

　　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 Amazon’s marketing, 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

　　Amazon’s Marketing Incrementality Measurement team is looking to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable scientific models to estimate the effectiveness of Amazon marketing efforts so as to provide actionable insights to the various marketing teams within Amazon. We work closely with business stakeholders and strive to continuously produce tangible impact on their strategic and tactical planning and operations.

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

　　Seattle, WA, 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.