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Senior Economist, GME Economics

Job ID: 2115699 | Amazon.com Services LLC

DESCRIPTION

Job summary
Amazon’s Global Media and Entertainment (GME) organization is creating a future of entertainment where creative content, innovation, and commerce come together. We leverage Amazon’s unique expertise across video, music, gaming, and more to create a truly immersive entertainment experience.

Our team, GME Economics, is focused on building science tools to optimize the Amazon entertainment experience, so that we can provide a great customer experience while operating as a sustainable and profitable business. Our team answers questions like: How do innovations in one GME business impact customer growth in another? How do we measure the health of our GME businesses? How can we understand the GME customer lifecycle better, from new acquisitions to power users?

We are looking for a Senior Economist with strong background in causal inference to help us answer the questions above. The candidate will partner with other Economists, DS and Finance/Business teams to build out measurement models, run experiments, and answer major strategic questions about how to invest in the business.

Key job responsibilities

  • Build econometric models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features
  • Independently identify new opportunities for leveraging economic insights and models in the GME businesses
  • Develop and execute science products from concept, prototype to production incorporating feedback from customers, scientists and business leaders
  • Write technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds



A day in the life
One of the key questions is how to improve discoverability of the GME businesses on the Amazon.com website. Amazon.com provides a surface for customers to discover businesses around Amazon. In this role, one of the main responsibilities would be to take the lead on this topic, understanding the systems involved and decision making process, and helping improve measurement on behalf of the GME businesses.

Other potential projects on the team include building pricing or long-term valuation models for the various GME businesses, to help them navigate the shifting media landscape. This could range from understanding the value of launching a completely new business, to understanding the long-term value of major content investments in an existing business.

BASIC QUALIFICATIONS

  • PhD in Economics or closely related field

  • PhD in Economics
  • Proven experience in building statistical models using R, Python, STATA, or a related software, with a willingness to learn and develop additional skills in causal inference, structural econometrics, machine learning, large-scale scientific / distributed computing.
  • 3+ years of post-PhD experience

PREFERRED QUALIFICATIONS

  • Proficiency in Spark-Scala or Py-Spark
  • Ability to work effectively within an interdisciplinary science team of economists, applied scientists, software engineers, and data engineers
  • Ability to communicate relevant scientific insights from data to senior business leaders, financial analysts, and product managers
  • Background/post-graduate training in causal inference
  • One or more publications in peer-reviewed statistical journals
  • Experience in implementing modern machine-learning methods (e.g., boosted regression trees, random forests, neural networks)


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.