Join Amazon's Supply Chain Optimization Technologies team as a Business Intelligence Engineer II focused on Machine Learning & Engineering. In this role, you'll be at the forefront of developing automated performance evaluation systems for machine learning models that drive millions in transportation cost savings. Working at the intersection of data engineering, software development, business intelligence, and ML operations, you'll have a direct impact on Amazon's global transportation network efficiency.
The position offers a dynamic mix of technical work and cross-functional collaboration. Your typical day might involve investigating forecast model performance deviations, building QuickSight visualizations, optimizing SQL queries, and implementing automated metric processing systems. You'll work closely with scientists, data engineers, and business stakeholders to define and implement model quality gates and ensure data reliability.
You'll be part of a diverse team combining scientific expertise with engineering excellence to create automated performance evaluation systems, maintain data quality frameworks, and build scalable monitoring solutions. The team is passionate about using technology to solve complex problems and fosters a collaborative environment where innovation and work-life harmony thrive.
This role is perfect for someone who enjoys working with large-scale data systems, has a strong foundation in both technical and business aspects of data analytics, and wants to make a significant impact on Amazon's transportation infrastructure. You'll have the opportunity to work with cutting-edge technologies and contribute to solutions that directly influence the efficiency of one of the world's largest logistics networks.