Business Intelligence Engineer, Core Shopping Data Science

Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide.

Our team leads the data science and analytics efforts for Amazon"s core shopping page and we own 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 manipulate massive amounts of data, heavily leverage AI and LLMs to manipulate and make sense of terabytes worth a day, coming from multiple different systems with a high degree of complexity in structure, schema and different levels of quality.

We are looking for a Business Intelligence Engineer to build metrics, leverage LLMs, deep dive and generate insights to improve the customer experience with a high level of senior leadership visibility up the CEO. These metrics govern the quality of the search page and impact multiple organizations and teams that contribute to the search results and ultimately what customers use to make purchase decisions on the website.

Key job responsibilities

You will be building and improving metrics that measure the quality of Amazon"s core shopping page leveraging LLMs. This includes working backwards from customer pain points, managing large and complex data pipelines manipulating terabytes of data a day. Your metrics and dashboards will be used by multiple teams and senior leaders and you will be providing insights into opportunities to improve the customer experience and our signals and systems. The metrics and underlying pipelines are used daily for decision making, setting up experiments, defining goals and influencing senior leaders to set priorities.

About the team

The mission of the Core Shopping Data Science team is to provide the data-driven foundation for building a world-class shopping experience that maximizes long-term free cash flow by delighting customers. We focus on the long term and big picture to ensure that the full Amazon shopping experience balances strategic trade-offs. We believe data science is the discipline of making smart decisions and we empower feature owners and systems by 1) developing and vending metrics which assess and value customer engagement, 2) building tools and datasets to inject data into the decision-making process, and 3) delivering deep analyses to inform high-touch decisions.