Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
As an Applied Scientist on the Sponsored Products Allocation and Pricing team, you'll be responsible for core problems within our ad server: which ads to show on the Amazon site, where to place them, and how to price them. This process relies on supervised learning (predicting clicks, conversions, relevance), reinforcement learning and black-box optimization (picking optimal ranking functions), causal models (long term shopper and retail impact of ads), advanced optimization techniques (constrained optimization with local and global constraints) and game theory (pricing ads). You'll have an opportunity to invent new approaches and publish novel scientific findings, while delivering Amazon-wide business impact.
A successful candidate will be able to handle a high degree of ambiguity. They can formalize business problems as science problems, develop and evaluate cutting edge techniques, and work with engineers to build and maintain software.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.