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Amazon Intern - Economics, MCF Science in Seattle, Washington

Description

We are looking for an economist intern who can apply economic methods to address our business problems. The ideal candidate will work with scientists and engineers to measure the impacts of marketing or cost-saving initiatives, and estimate models and algorithms on large scale data. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.

These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to conduct economic research and analysis to support business decision-making process, collaborate with cross-functional teams, and write documents for business audiences. 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 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)

Key job responsibilities

Basic qualifications include experience with reduced-form causal inference and strong writing skills. Preferred qualifications include expertise in economic forecasting, experience working with large data sets, and familiarity of R and Python.

A day in the life

Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis, or writing and presenting a document with findings to business leaders. Economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions.

About the team

The MCF Science team empowers MCF's relentless growth and business agility needs by leveraging cutting edge statistical and economics models. At our best, we deliver end to end solutions for our MCF customers that can be applied to address critical business objectives, such as capacity planning and coordination, downstream impact analysis, and fee change impact modeling. The mission of the MCF science team is to maximize the power of data to benefit all of MCF through science and engineering. The team aims to tackle future challenges across logistics, economics, marketing, business and more.

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

Seattle, WA, USA

Basic Qualifications

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

Preferred Qualifications

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

-Experience with SQL

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.

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