Data Scientist Amazon
Seattle, WA

Job Description

Interested in using Terabytes of Data and Machine Learning?

At Amazon Advertising, we are developing state-of-the-art large-scale computational advertising and machine learning applications using Terabytes of data. We are looking for talented machine learning scientists to support ads ranking and optimization problems. In this role you will work with other machine learning scientists, engineers, and product managers on high impact initiatives in Amazon's Display Advertising.

Measurement and Data Science develops machine learning algorithms and high performance, petabyte-scale distributed systems utilizing big data and streaming technologies to report and optimize advertising. Our innovative engineers and machine learning scientists sit at the intersection of two vast data sources - leveraging e-commerce data to optimize advertising and measuring advertising impact on e-commerce. Our systems process billions of ad impressions daily from across the internet and Amazon site interactions to power all of Amazon's advertising reporting and our display advertising algorithms for optimal audience targeting, real time ad ranking and bidding, and automated campaign optimization.

It's Day One in Amazon Ads and you will play a leading role to build out our scientific infrastructure and create our research environment. Collaborating with other data and machine learning scientists, software engineers and product managers, you will:

* Deep dive into complex algorithmic issues in production and simulation.
* Research and implement novel experimental design and measurement methodologies
* Establish scalable, efficient, automated processes for large scale data analysis in display advertising
* Leverage petabyte scale data in strategic analysis for new monetization strategies, products and business directions

Because that is what we want to do - we're going to change the way that customers discover and research products online and how companies understand and interact with their customers. Along the way, we're going to face seemingly impossible problems. We're going to argue about how to solve them, and we'll work together to find a solution that is superior to each of the proposals we came in with. We'll be the dream team.