Business Intelligence Engineer, JP Retail Science

Amazon Japan is seeking a Business Intelligence Engineer to join their JP Retail Science team, focusing on developing data engineering infrastructure and solutions that scale across Amazon's largest vendors. This role combines technical expertise with business impact, working at the intersection of advanced analytics and e-commerce.

The position involves designing and building robust data pipelines, architectures, and platforms to support the delivery of advanced analytics and machine learning models for Amazon's eCommerce partners. As part of the JP Science and Data team, you'll collaborate with scientists, engineers, and product managers worldwide on projects involving causal inference, representation learning, anomaly detection, forecasting, and LLMs.

The role offers unique opportunities to work with terabytes of data, prototype analytical solutions that scale to hundreds of vendors, and influence the future of Amazon's paid services. You'll be part of a collaborative environment that emphasizes continuous learning and staying current with state-of-the-art technologies.

Key responsibilities include defining scalable solution requirements, building automated data pipelines, working with complex datasets, applying machine learning models, and preparing vendor-facing presentations. The ideal candidate should have strong data engineering skills, experience with visualization tools, and the ability to translate complex technical concepts into business insights.

This position at Amazon offers the chance to work on challenging projects that push boundaries while contributing to the success of Amazon's largest vendor partnerships. The team aims to be the primary science team for vendor solutions in Amazon worldwide, making this an excellent opportunity for someone looking to make a significant impact in the e-commerce space.