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Sr. Applied Scientist, Personalization

1 month ago

Bellevue, United States Amazon Full time

Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team operates at the intersection of search-based recommendations and customer preferences, working on novel ideas to positively impact millions of Amazon customers. Key job responsibilities: Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes Design, develop, and evaluate highly innovative models for predictive learning Work closely with software engineering teams to drive model implementations and new feature creations Establish scalable, efficient, automated processes for large-scale data analysis, model development, model validation, and model implementation Research and implement novel machine learning and statistical approaches Mentor junior scientists; review their work and provide feedback About the team: Our mission is to delight every Amazon customer with a personalized shopping experience. We achieve our mission through investments in large-scale machine learning, distributed systems, and user experience with the purpose of delivering the future of shopping on Amazon. We are seeking a Senior Applied Scientist to build personalized search-based recommendations and evaluate the quality of our personalized recommendation in Amazon-wide scale. #J-18808-Ljbffr