Data Science Engineer
Core
Design, build, and deploy machine learning and data science algorithms to enhance the reliability and adversarial resilience of critical infrastructure, specifically in cybersecurity and power systems.
Role type
Senior IC Data Science Engineer (Cybersecurity & Power Systems)
Builds
Production ML models, analytical tools, and visualizations for critical infrastructure protection.
Domain
National Security / Cybersecurity / Power Systems / Energy
Deliverable
production ML models
Required skills
Python programming, machine learning, deep learning, neural networks, transformers, generative models, software engineering best practices, version control, unit testing, data visualization
Preferred skills
TensorFlow, PyTorch, scikit-learn, Keras, RAG, fine-tuning pre-trained models, adapting foundation models, cybersecurity principles, SCADA systems, industrial control systems
Technologies
Python, TensorFlow, PyTorch, scikit-learn, Keras
Responsibilities
Design and apply ML/data science algorithms to analyze cybersecurity and power systems data; write code to implement and deploy data science solutions; collaborate with multidisciplinary teams including cybersecurity experts and power systems engineers; present technical work and results to sponsors and technical audiences; contribute to technical direction and strategy for data science capabilities.
Seniority
Senior, hands-on IC