Amazon - Palo Alto, CA
posted 4 months ago
Amazon is one of the most popular sites in the US, and our product search engine is one of the most heavily used services in the world, indexing billions of products and serving hundreds of millions of customers worldwide. Our team leads the science and analytics efforts for the search page, owning multiple aspects of understanding how we can measure customer satisfaction with our experiences. This includes building science-based insights and novel metrics to define and track customer-focused aspects. We are working on metrics and measurements to better quantify the customer pain points of the search customer experience and, in turn, reduce friction for the customers. We are looking for a Senior Data Scientist to lead the development and implementation of different metrics and tackle new and uncharted territories for search engines using LLMs. In this role, you will lead ML and LLM-based signals development and data analytics, driving critical product decisions for Amazon Search. You will perform multiple large, complex, and business-critical analyses that will inform product design and business priorities in a fast-paced and ambiguous environment. Your responsibilities will include designing and building AI-based science solutions to allow routine inspection and deep business understanding as the search customer experience is being transformed. You will analyze A/B tests and recommend ways to make them faster and more robust. Keeping a department-wide view, you will focus on the highest priorities and constantly look for scale and automation, while making technical trade-offs between short-term and long-term needs. With your drive to deliver results, you will quickly analyze data and understand the current business challenges to assess the feasibility of different science projects, as well as help shape the analytics roadmap of the Search Science teams. Your desire to learn and be curious will help us look around corners for improvement opportunities and more efficient metrics development. You will partner with data engineers, business intelligence engineers, product managers, software engineers, economists, and other scientists to achieve these goals. As a Senior Data Scientist, you will have expertise in machine learning and statistical models, and you will be comfortable with a higher degree of ambiguity. You will know when and how to be scrappy, build quick prototypes and proofs of concepts, and relish the idea of solving problems that haven't been solved at scale. Along the way, you'll learn a ton, have fun, and make a positive impact at scale.