Applied Scientist, Leo Security
Core
Build statistical and behavioral models to detect threat actors in global satellite constellation security infrastructure, handling industrial control and factory-floor telemetry.
Role type
Applied Scientist (Security & Anomaly Detection)
Builds
Production security detection systems for satellite ground infrastructure and launch facilities
Domain
Aerospace security, Industrial Control Systems (OT/SCADA), Behavioral Analytics
Deliverable
production ML models
Required skills
Statistical modeling, Anomaly detection, Time-series analysis, Behavioral baselining, Python, Deep learning frameworks (PyTorch/TensorFlow), Privacy-preserving data representations
Preferred skills
Access control systems, Network security, Cryptography, Privacy-preserving ML (differential privacy/synthetic data), Evaluation framework design, Modeling sensor/operational telemetry
Technologies
PyTorch, TensorFlow, Rust, C++
