Senior Data Scientist

As part of this mission, you will help the organization maintain its prestigious designation as a Cybersecurity Service Provider (CSP) and Center of Excellence (COE). Our team manages a global footprint of 53,000+ nodes across complex cloud environments, generating a rich, high-velocity telemetry stream. You’ll have the unique opportunity to engineer features across the entire Cyber Kill Chain, building ML-driven defenses to neutralize APTs. From implementing Zero Trust logic to preparing for Post-Quantum Cryptography, you will transform terabytes of raw network data into proactive, automated security intelligence., * Design technical solutions for predictive risk analysis and risk mapping.

• Develop machine learning algorithms for User & Entity Behavior Analytics (UEBA).
• Engineer automated workflows to merge disparate data sources.
• Utilize data-driven insights to model the Cyber Kill Chain, predicting the next moves of Advanced Persistent Threats
• Design and maintain algorithmic risk-scoring engines that prioritize security alerts
• Create data models to determine the impact of cyber incidents.

• Master’s or PhD in a quantitative field (e.g., Statistics, Computer Science).
• 5+ years of machine learning engineering or data science experience.
• Certified Analytics Professional (CAP) certification.
• Proven experience working with complex cloud environments in AWS, Azure, GCP, or Oracle.
• Strong written and analytic skills

Preferred Skills:

• Proficiency in Python, JSON, C++, or Java and containerization (Kubernetes/Docker).
• Effective communication skills, presenting relevant technical information to government representatives
• Experience with post-quantum computing assessment/implementation

Clearance Requirements:

• Must be a U.S. Citizen.
• Must be able to obtain and maintain a Secret clearance.
• Must be able to obtain and maintain an ICE Entry on Duty (EOD) Suitability.

Physical Requirements:

• Must be able to remain in a stationary position 50% of the time.
• Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers and customers.