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Economist, Ads Econ

Amazon.com Services LLC
New York, New York, USA
$136K a year
Full-time

The Ads Econ Team within Digicon is looking for an experienced PhD economist. You will lead science projects using cutting edge econometrics and ML to advance science, especially behind our advertising business.

Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys.

The business is focused on generating value for shoppers as well as advertisers. Our team uses a combination of econometrics, machine learning, and data science to build disruptive products for all our Advertising products.

We also generate insights to guide Amazon Advertising strategy, providing direct support to senior leadership.

You will also be responsible for developing the economics behind the revenue and pricing mechanisms for Amazon's budding automotive efforts.

Location could be Seattle, Los Angeles, or New York City.

Key job responsibilities

Leverage econometrics and ML models to optimize advertising strategies on behalf of our customers.

Influence key business and product decisions based on insights from models you develop.

Identify and pitch new opportunities to leadership that are suggested by the data.

Partner with other science leaders throughout Amazon to develop consistent and repeatable solutions.

Design and analyze experiments (A / B testing etc.) to evaluate different strategies.

Develop revenue and pricing strategies that meet the needs of Amazon, our customers, and our business partners.

Work with other scientists, software developers, and product partners to implement your solutions.

BASIC QUALIFICATIONS

PhD in economics or equivalent

PREFERRED QUALIFICATIONS

  • 2+ years of industry, consulting, government, or academic research experience
  • Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
  • Experience in prediction and forecasting in a research or industrial environment
  • Experience with handling of large datasets
  • 30+ days ago
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