CASY-MSCCN Jobs

CASY-MSCCN Logo

Job Information

Amazon Intern - Economics, SCOT Lab Team in Bellevue, Washington

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 interns from 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)

About the team

SCOT Lab develops and maintains a self-service randomized experimentation system called Minerva to support Amazon's supply chain experimentation. Minerva is an all-in-one system that assists customers in designing, setting up, running, and analyzing randomized controlled trials (RCT)—the gold standard for estimating effects. It is designed to measure how new algorithms or policies impact crucial business metrics such as Long Term Free Cash Flow (LTFCF), Contribution Profit (CP), Inventory Levels, and Local In-stock (LIS), etc. We are a team of 10 with mixed engineers and scientists.

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

Bellevue, 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.

DirectEmployers