Data Science Engineer

About the role

Hybrid data science role applying ML/deep learning to cybersecurity and power systems to improve critical infrastructure reliability and adversarial resilience. Requires Python, real-world ML/data science and software engineering practices. DOE Q clearance requires U.S. citizenship; salary range $146,340-$222,564.

Requirements

• Bachelor degree or equivalent in a technical field
• Broad Python and software development experience
• Experience applying ML, deep learning or data science to real-world problems
• Software engineering practices including version control, unit testing and documentation
• Ability to obtain and maintain DOE Q-level clearance; U.S. citizenship required
• Preferred: MS/PhD, ML frameworks, RAG, cybersecurity, power/SCADA/ICS

What you'll do

• Build and deploy ML/data science algorithms for cybersecurity and power systems data
• Improve critical-infrastructure reliability and adversarial resilience
• Create code, analytical tools and visualizations following software engineering practice
• Collaborate with cybersecurity, power engineering and computer science teams
• Develop research prototypes for critical-infrastructure protection

Where this was posted

• LinkedIn

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