Demo

Intern - Economics, Central Latency

Amazon
Seattle, WA Intern
POSTED ON 4/1/2025
AVAILABLE BEFORE 6/1/2025

DESCRIPTION

We are looking for detail-oriented, organized, and responsible individuals who are eager to apply time-series modeling techniques on business relevant engineering problems. Some knowledge of econometrics, as well as basic familiarity with Python is necessary.

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 econ-internship@amazon.com.

Key job responsibilities
Well versed with various time-series modeling techniques so that they can quickly apply them to our our problem space.

About the team
Central Latency own the latency program for Stores and are responsible for:

Vision: Setting a long-term architecture plan to reduce latency
Goals: establishing Store-wide latency goals
Guardrails: monitoring customer latency with automated tooling
Science: understand the impact of latency

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

- Experience with SQL
- 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

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55.91/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Salary : $56 - $97

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