We are looking for detail-oriented, organized, and responsible individuals who are eager to apply causal-inference techniques to business-relevant engineering problems.

These are full-time positions at 40 hours per week, with compensation awarded on an hourly basis. You will learn how to apply theoretical econometrics techniques to real-world problems and collaborate 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 with placement.

Key job responsibilities
Well versed with power analysis in experimentation 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, complex data sets
• Knowledge of statistical or econometric modeling
• Knowledge of and proficiency in the use of Python scripting language
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in Database like NoSQL

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, WA, SEATTLE - 129,200.00 - 174,700.00 USD annually
USA, WA, Seattle - 129,200.00 - 174,700.00 USD annually