Are you passionate about making Amazon the best place for Brands to tell their story, discover and engage new customers, drive traffic to their products and grow their business? Brand Merchandising and Content (BMC) is a team that owns building automated, self-service tools and services that allow Brands of all sizes to increase and optimize conversion via measurement of different content options, drive incremental traffic via marketing and social channels, and accelerate growth via actionable marketing recommendations with one-click actions. We use a variety of optimization approaches (e.g., ML, NLP, MAB, heuristics etc.) to drive the discovery, engagement and conversion needs of Brands.
Using Amazon's large-scale computing resources, you will ask research questions about strategies for driving traffic and conversion to build and productionalize ML models for solving complex problems like product lifecycle-based attribution, cold start, content experimentation and optimization. Your work will directly benefit Brands and Customers, you will quantify and measure the impact using scientific tools.
As part of talented team of engineers and scientists, you will have the opportunity to create significant impact on our systems, our business and most importantly, our customers as we take on challenges that can revolutionize the e-commerce industry. We are looking for passionate, hard-working, and talented Applied scientist who have experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.