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Job Description: Come turn the art of pricing into a science! The Pricing Analytics team invents the algorithms behind Amazon’s pricing systems which automatically determines and publishes prices, with little to no manual intervention, for the millions of items that Amazon sells worldwide ranging from Books to Consumer Electronics to Shoes.
We solve complex real-world problems using state-of-the-art machine learning techniques such as stochastic optimization models to get rid of over-stocked inventory, reinforcement learning to estimate price elasticity, or random forest algorithms to predict and prevent pricing errors. As a member of the Pricing Analytics team, you'll play a key role in driving the high customer satisfaction, low prices and overall profitability for Amazon’s Worldwide Retail Business.
Innovation: Are you seeking an environment where you can drive innovation? Do you want to apply state-of-the-art computer science and advanced machine learning techniques to solve real world problems? Does the challenge of building sophisticated pricing algorithms and experimenting with different pricing strategies interest you? Do you want to better understand how Amazon fosters customer trust globally with its pricing decisions?
Opportunity: To meet these challenges, Amazon's Pricing Analytics team is looking for passionate and innovative software engineers with a background in data mining and machine learning to help build out the next generation pricing algorithms for Amazon.com worldwide.
Basic Qualifications:
Preferred Qualifications:
To apply, please visit here.
Nomination/Position | Deadline |
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Call for Nominations: IEEE Technical Field Awards | 15 January 2025 |
Nominate an IEEE Fellow Today! | 7 February 2025 |
Nominate an IEEE Fellow Today! | 7 February 2025 |
Call for Nominations for IEEE SPS Editors-in-Chief | 10 February 2025 |
Call for Nominations for IEEE SPS Editors-in-Chief | 10 February 2025 |
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