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 though the Amazon Marketplace. The Featured Merchant Algorithm (FMA) team owns the system and algorithms that select 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 FMA 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. Our team leverages sophisticated econometric, machine learning, 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 are looking for an Applied Scientist to help build the next generation of Buy Box algorithms. These new set of algorithms will incorporate the continually changing preferences of our customers and continue to scale with numerous new programs that Amazon is introducing for our customers. You will work with multiple Amazon businesses and programs to identify big business opportunities and propose new business features and technical systems to improve customer experience on Amazon Detail Page, Search Page and many other widgets throughout the website. You will lead the development of models and solutions to improve unit conversion on the Buy Box using Machine Learning, Econometrics and Pricing algorithms. You will be responsible for the quality of algorithm design and will get the opportunity to present your ideas and share results of your deliverables with Amazon executives on a frequent basis. You will get an opportunity to working with senior scientists to define and enforce broad, company-wide technical standards in optimization techniques, statistical modeling and simulation techniques, and/or data analytics.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.