Interested in driving thought leadership on customers discovering Private Brands? We’re building Machine learning models and AI algorithms that will transform digital marketing discovery for Private Brands at Amazon. Using Amazon’s large-scale computing resources you will ask research questions about customer behavior, build models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. 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
· MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field · 5+ years of hands-on experience in predictive modeling and analysis · Strong algorithm development experience · Skills with Java, C++, or other OOP language, as well as with Python, R, MATLAB or similar scripting language · Strong communication and data presentation skillsThe ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field, and 7+ years of relevant work experience, including: · Significant peer reviewed scientific contributions