Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. We are seeking a Scientist to own analytics, scientistic research, validation, and development of our phased array systems across customer terminals and satellite-deployed terminals. In this role, you will transform raw test and telemetry data into actionable insights and automated checks that ensure every deployed system performs to expectations. You will build data and ML pipelines that detect calibration issues, quantify array performance, validate new algorithms, and increase the effectiveness, reproducibility, and automation of our antenna, calibration and deployment workflows. This role sits at the intersection of array processing, data science, and systems engineering, working closely with calibration/validation, phased array systems, RF communications, and test engineering teams.