
Senior Data Scientist
Role summary
MANTECH is seeking a Senior Data Scientist to support a DHS customer in Chandler, AZ or the National Capital Region. This role is crucial for maintaining the organization's Cybersecurity Service Provider (CSP) and Center of Excellence (COE) designations. You will work with a global footprint of over 53,000 nodes across complex cloud environments, analyzing high-velocity telemetry data. Your responsibilities will include engineering features across the Cyber Kill Chain, building ML-driven defenses against APTs, implementing Zero Trust logic, and preparing for Post-Quantum Cryptography. You will transform terabytes of network data into proactive, automated security intelligence by designing predictive risk analysis solutions, developing UEBA algorithms, engineering data merging workflows, modeling the Cyber Kill Chain, creating risk-scoring engines, and building data models for cyber incident impact.
MANTECH seeks a motivated, career, and team-oriented Senior Data Scientist to support a DHS customer in Chandler, AZ OR the National Capital Region.
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.
Responsibilities include but not limited to:
- 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.
Minimum Qualifications:
- 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.
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.
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