Experience Inc. Jobs

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets and causal inference models. Knowledge of applied econometrics and causal inference techniques, as well as basic familiarity with Stata is necessary. Experience with SQL and Python 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 scientist employment at Amazon. If you are interested, please send your CV to our mailing list at PhD student in Economics or closely related fields (enrolled in 3rd year or more and not currently on the job market) Experience with SQL Familiarity with UNIX Knowledge of econometrics Experience working with large data sets Attention to detail Familiarity with Python Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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.