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Economist intern, fba science, fba science

Milano
Contratto a tempo indeterminato
Stage
Amazon
Economista
Pubblicato il Pubblicato 4h fa
Descrizione

Job ID: 3207332 | Amazon.com Services LLC - A57

The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) enable third‐party sellers to use Amazon's world‐class science and logistics infrastructure to supply and fulfill customers worldwide with unprecedented fast delivery promise to customer. In doing so, sellers spend more time building great products, delight customers and grow their business.

The FBA team is looking for Economist Intern with strong structural and applied econometrics skills to join our cross‐domain group of economists, applied scientists, research scientists, and data scientists. The intern will be part of a high‐impact team designing and implementing economics structural and causal models, incentive mechanisms, experiments to evaluate and (re)design new products and policies, quantify the impact of FBA workflows, seller recommendations, and information on seller decisions and outcomes, while collaborating with business and software teams to solve key challenges facing the worldwide FBA business.

Our PhD Economist Internship Program offers hands‐on experience in applied economics, supported by mentorship, structured feedback, and professional development. Interns work on real business and research problems, building skills that prepare them for full‐time economist roles at Amazon and beyond. You will learn how to build data sets and perform applied econometric analysis 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.

These are full‐time positions at 40 hours per week, with compensation being awarded on an hourly basis.

About the team

Fulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon's world‐class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, increase their sales, and have more time to continue inventing amazing products for customers.

The FBA team is the core group in charge of fulfillment, inventory management, pricing, and a diverse range of operational recommendation services for sellers. We work to learn seller behavior, understand seller experience, build automated assistants to sellers, recommend right actions to sellers, design seller policies and incentives, and develop science products and services that empower third‐party sellers to grow their businesses. To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics.

We work full‐stack, from foundational backend systems to future‐forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data‐driven decision‐making.

Basic Qualifications

- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software

- Knowledge of statistical or econometric modeling

- Enrolled in at least the third year of a Ph.D. program in Economics or a related quantitative field

Preferred Qualifications

- Experience that includes strong analytical skills, attention to detail, and effective communication abilities

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.

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