DataScientist

Are you passionate about building the world's largest low-power, long-range IoT network? Do you want to use data science to expand connectivity for billions of devices and directly shape how Amazon Sidewalk grows its coverage footprint? If turning IoT telemetry into actionable insights excites you, we want to talk. The Amazon Sidewalk team is looking for an analytical and technically skilled Data Scientist to join our team. In this role, you will design, build, and deploy machine learning models and analytical solutions that power Sidewalk's coverage map, optimize network performance, and drive insights from one of the largest mesh IoT networks in the world. Amazon Sidewalk is a shared network that helps devices like Ring, Echo, and third-party IoT endpoints work better at home and beyond the front door. Sidewalk uses Bluetooth Low Energy (BLE), 900 MHz LoRa, and FSK radio protocols to extend the working range of low-bandwidth devices through a network of millions of Sidewalk-enabled gateways. This role puts you at the center of understanding and expanding that network. This role offers wide scope, autonomy, and ownership. You will work closely with software engineers, data engineers, and product managers to put algorithms into practice. You should have strong business judgment, excellent written and verbal communication skills, and be willing to take on challenging initiatives both independently and as part of a team. Key job responsibilities - Build and improve Sidewalk's coverage forecast models that predict network availability across BLE, LoRa, and FSK link types for any geographic location. - Analyze gateway telemetry, device event data, and registration statistics from the Sidewalk Data Lakehouse to identify coverage gaps, network health trends, and device behavior patterns. - Develop geospatial models that leverage gateway location data, signal propagation characteristics, and device density to optimize coverage map accuracy. - Design anomaly detection syste