From Jeff Bezos's, 2014 Amazon shareholder letter (http://tinyurl.com/q8zpobu): "Internally, Marketplace was known as SDP for Single Detail Page. The idea was to take our most valuable retail real estate - our product detail pages - and let third-party sellers compete against our own retail category managers."
Today, millions of third party sellers offer products alongside Amazon Retail through the Amazon Marketplace. The Featured Merchant Algorithm team owns the system and algorithms that enables the above mentioned competition and selects the offers that are featured on the 'Add to Cart' button (aka the 'Buy Box') on Amazon's most valuable retail real estate - the Product Detail Page referenced above. The team's mission is to ensure that featured offers provide the best possible customer value based on factors including price, availability, delivery options and customer service.
The team leverages sophisticated machine learning, econometric, and big data technologies to help customers to discover the right products at the right prices from millions of trusted sellers billions of times a day. If you are looking for a career-defining opportunity on one of the most customer centric and business impacting teams within Amazon, we'd love to hear from you.
We're looking for a science leader to drive the next generation of FMA ML based ranking, pricing and econometric models to further improve customer experience and customer trust on Amazon. This leader will drive scientists, tech and business teams within and outside of FMA to think outside the box and design innovative models solutions for this scientifically complex business driving functionality.
In this position you will provide both strategic and tactical oversight and be responsible for leading and mentoring best-in-class research science and ML experts that deliver the features, functionalities, and tools we need to deliver on our global product roadmap. Your team will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Research science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.
Your team will drive changes and experiment to make data driven decisions and present this data to Amazon senior executives on a frequent basis. This is a high visibility role that requires working with business, finance, category and legal teams worldwide and provides opportunities to interact with senior management worldwide.
A successful candidate will be a person who enjoys understanding and evaluating customer facing website changes, makes data driven decisions and understands the short term and long term customer and financial impact of these changes.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.