Senior Data Scientist

Responsibilities

• 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.
• Create data models to determine the impact of cyber incidents.

Requirements

• 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.

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.