Amazon's advertising research team seeks a scientist to deliver a new a modeling platform to allow researchers access advertising data and measure the performance of advertising. We are working on pioneering measurement approaches to close the loop and drive efficiency for marketing activities. The team own a machine learning platform that enables quantitative modeling for measuring and optimizing the dollar spend on marketing activities.
As the lead scientist for this group you will be responsible for development of models to measure and forecast incremental lift and deploy production algorithms on our unique machine learning platform. You will also design algorithmic applications that leverage data captured from disparate sources, draw econometric inferences using machine learning algorithms and drive optimal decision making. You will apply your expertise to build models and software capable of attributing consumer activity to marketing campaigns with minimal intervention. You will partner with the best technology solution providers at Amazon and help to develop a world class machine learning software.
You'll be expected to:
* Leverage knowledge of modeling, advanced software system and algorithm development to build our measurement and optimization engine. * Serve as a technical lead on our most demanding, cross-functional projects and manage a team of software engineers and junior machine learning scientists to deliver solutions to internal stakeholders including other modeling teams at Amazon. * Contribute intellectual property through patent generation. * Functionally decompose complex problems into simple, straight-forward solutions. * Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.