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Passionate about books? The Amazon Books team is looking for a talented Applied Scientist II to help invent, design, and deliver science solutions to make it easier for millions of customers to find the next book they will love. In this role, you will - Be a part of a growing team of scientists, economists, engineers, analysts, and business partners. - Use Amazon’s large-scale computing and data resources to generate deep understandings of our customers and products. - Build highly accurate models (and/or agentic systems) to enhance the book reading & discovery experiences. - Design, implement, and deliver novel solutions to some of Amazon’s oldest problems.
Job Responsibility:
Inspect science initiatives across Amazon to identify opportunities for application and scaling within book reading and discovery experiences
Participate in team design, scoping, and prioritization discussions while mapping business goals to scientific problems and aligning business metrics with technical metrics
Spearhead the design and implementation of new features through thorough research and collaboration with cross-functional teams
Initiate the design, development, execution, and implementation of project components with input and guidance from team members
Work with Software Development Engineers (SDEs) to deliver production-ready solutions that benefit customers and business operations
Invent, refine, and develop solutions to ensure they meet customer needs and team objectives
Demonstrate ability to use reasonable assumptions, data analysis, and customer requirements to solve complex problems
Write secure, stable, testable, and maintainable code with minimal defects while taking full responsibility for your components
Possess strong understanding of data structures, algorithms, model evaluation techniques, performance optimization, and trade-off analysis
Follow engineering and scientific method best practices, including design reviews, model validation, and comprehensive testing
Maintain current knowledge of research trends in your field and apply rigorous scrutiny to results and methodologies
Requirements:
Experience programming in Java, C++, Python or related language
Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Experience implementing algorithms using both toolkits and self-developed code
Have publications at top-tier peer-reviewed conferences or journals