Amazon.com Services LLC
Economics, Economist, no business category
Intern-Economics,NavigatorAnalytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Intern - Economics, Navigator Analytics at Amazon.com Services LLC. Skills: Causal inference, Econometrics, Data analysis. Apply causal-inference techniques to business-relevant engineering problems. Apply theoretical econometrics techniques to real-world problems”
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
PhD student in Economics (3rd year or more), Not currently on the job market
Nice to Have
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 analytical skills, Attention to detail, Effective communication abilities, Experience in Database like NoSQL
What You'll Do.
Apply causal-inference techniques to business-relevant engineering problems
Apply theoretical econometrics techniques to real-world problems
Collaborate with economists
Apply power analysis in experimentation
How You'll Work.
Team & Collaboration
Collaborate with economists; Collaborate with scientists; Collaborate with product managers
Communication Scope
Effective communication
Full Job Description
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 mor
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