Logo of Huzzle

Home

Matches

Explore

Manage

Intern - Economics, Fees Science

image

Amazon

Mar 26

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Seattle

Requirements

  • PhD student in Economics (enrolled in 3rd year or more and not currently on the job market)
  • Preferred Qualifications:
  • Experience with SQL
  • Familiarity with UNIX
  • Experience working with large data sets
  • Knowledge of econometrics
  • Familiarity with Python
  • Attention to detail

Responsibilities

  • Learn the details of both existing LLM frameworks and state of the art causal inference tools leveraged by the Fees Science team. Dive deep into individual business use cases within the fees team. Deliver analyses of high-impact and accuracy that marry causal techniques with natural language prompts and outputs.
  • A day in the life:
  • Reading papers in the causal and LLM literature. Deploying models and programming within Unix systems and AWS tools. Designing new experiments and datasets to be run in the framework they will develop, and checking output with scientists and business stakeholders. Writing high quality documentation and code artifacts.

Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.