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Cambridge, Massachusetts

Economist

Finance & Insight   |   Job ID  2038195
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JOB SUMMARY

Job summary
Good storytelling starts with great listening. At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.

ABOUT THIS ROLE
Audible is searching for talented economists to join our economics team. You will work with other scientists and stakeholders from teams across Audible including our executive team, as well as content, product, marketing teams to outline quantitative solutions to major strategic questions. You will be expected to apply rigorous economic thinking and econometric methods to answer these questions, ultimately making data-driven recommendations to the business. You will be a key member of Audible's core economics and data science team, and be expected to contribute to our broader science knowledge base. Economists at Audible are a part of a large (and growing) economics community at Amazon.

ABOUT YOU
We are searching for economists at multiple levels with a core competency in one of the follow areas of economics:
  • Empirical IO, to leverage structural econometrics to drive pricing and demand estimation efforts to inform our product strategy.
  • Marketing and Experimental Design, to drive efforts with our marketing and content partners to grow and deliver exceptional content to our customer base, for Audible and the broader Amazon global digital media ecosystem.

As an Economist, you will...
  • Collaborate with leadership to shape a research agenda in one of the above areas.
  • Build econometric and machine learning models to answer challenging, impactful questions.
  • Partner with other scientists at Audible and Amazon to develop scalable solutions to economics problems.

BASIC QUALIFICATIONS

  • PhD in Economics or related field.
  • Fluent in mathematical foundations of statistics, machine learning, and economics.
  • Experience formulating and solving challenging optimization problems.
  • Experience with statistical and econometric software, such as Python, R, or Stata.

PREFERRED QUALIFICATIONS

  • Knowledge of causal ML methods, such as high-dimensional models, double/debiased ML, causal random forest, matrix completion methods.
  • Experience in using data science and ML to inform pricing, investment, development, or production of original media content.
  • Experience working on a cross functional team, including with product managers, software and data engineers.
  • Publication record in empirical IO, or topically relevant to digital media industry and/or streaming services.

ABOUT AUDIBLE
At Audible, we innovate and inspire through the power of voice. We're changing the narrative on storytelling. As a leading creator and provider of premium audio storytelling, we've redefined the ways people access, discover, and share stories. The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Audible's service possible. We're listeners, storytellers, and problem-solvers. Our perspectives and experiences power our ideas and come together in our mission to unleash the power of the spoken word.


Audible is committed to a diverse and inclusive workplace. Audible 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.
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