Market Research Analyst à Grande-Bretagne

DESCRIPTION

We're looking for an Applied Scientist to optimize prediction, ranking and bidding for Amazon's programmatic advertising product. In this role you will work at the forefront of high scale low latency customer-facing advertising systems, mixing machine learning, game theory and feedback control. Your work will affect multi-billion dollar businesses, and you will be responsible for designing, testing and delivering significant breakthrough's for Amazon's business.

Key job responsibilities
* Design and implement auctions for scaled self-serve display advertising.
* Own the allocation and pricing decision for hundreds of thousdands of candidate ads with diverse objectives across highly varied supply types.
* Invent new auction types and controls for advertisers that balance value for shoppers, advertisers and Amazon.
* Be immersed in Amazon's advertisers and their objectives, and think long-term about how to turn those objectives into products and technical capabilities
* Understand the latest literature on auction theory, machine learning and measurement to guide strategic investment for the organization

A day in the life
* Be immersed in Sponsored Display's auction data: candidate ads, objectives, bids and outcomes
* Design, prototype and validate new auction mechanisms or parameterizations
* Take technical leadership over turning prototypes into shopper- and advertiser-facing software
* Stay abreast of the latest trends and opportunities in machine learning, economics, auction theory and measurement
* Be an advocate and expert for SD's auction to leaders and stakeholders inside and outside advertising

About the team
Sponsored Display is a rapidly growing advertising product that aims to bring Display-style advertising to self-serve advertisers of any size. We're a customer-focused product powered by deep, exciting technology. We bias towards disruptive innovation that affects the experiences of all our advertisers and shoppers worldwide. We are deeply flexible in technology and methods, prefer multi-displicplinary collaborations and broad viewpoints, and are obsessed over cutting edge research in customer-facing software and products.

BASIC QUALIFICATIONS

- Master's degree
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research

PREFERRED QUALIFICATIONS

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.