Data Scientist (Aerospace)

**SOTI is committed to providing its employees with endless possibilities; learning new things, working with the latest technologies and making a difference in the world.** ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- **Who We Are** At SOTI, we are committed to delivering best-in-class mobile and IoT device management solutions. We are looking for unconventional thinkers who appreciate the art of creating great software. To us, being visionary is more important than doing things the way they’ve always been done. **What’s In It for You?** *The People* - From our humble origins in our founder’s basement to our industry-leading position today, SOTI has worked hard to foster a company culture that we can all believe in. A culture that emphasizes personal growth, continuous innovation, and fun. *The Growth* - Our environment fosters new ideas, fresh perspectives, and the ability to take them over the goal line. SOTI is a fast-paced environment with a global reach that encourages you to make your mark and be part of something big! *The Technology* - You’ll get the chance to work with leading-edge technologies and take on complex and interesting projects as part of highly collaborative and agile teams. You will work alongside SOTI’s partners which include leading tech giants that will keep you on the cusp of emerging technologies. **What We’re Looking For** We are looking for a Data Scientist, Aerospace with strong ownership of complex model development, multi-sensor analytics, and end-to-end integration for autonomous drones and robotics. This role owns larger technical work packages, identifies data and model risks earlier, and guides junior contributors through practical delivery. You will help move models toward repeatable, test-ready AI capabilities that perform reliably across diverse operational conditions. **What You’ll Do** * Lead defined AI/ML work packages spanning data strategy, modelling, integration, evaluation, deployment, monitoring, and technical documentation. * Design perception and sensor-fusion pipelines combining RGB, thermal, depth, LiDAR, radar, IMU, GNSS, telemetry, and environmental data. * Select and implement appropriate methods for object detection, segmentation, tracking, pose estimation, localization, mapping support, anomaly detection, forecasting, and decision support. * Define dataset coverage plans and simulation or synthetic-data strategies for rare events, difficult environments, and safety-related scenarios. * Lead error analysis, ablation studies, uncertainty evaluation, robustness testing, and model-performance trade studies. * Optimize models for GPU, NPU, CPU, or embedded platforms using quantization, pruning, compilation, batching, and architecture selection as appropriate. * Coordinate integration with autonomy, controls, embedded, cloud, robotics middleware, grou