Responsibilities:
Program Description:
The program provides Systems Engineering and Technical Assistance (SETA) core and non-core support in the areas of Cyber Security and Management to improve the Information Assurance (IA) posture of a National customer. The contracts Core Capabilities are: IA Management, Federal Information Security Management Act (FISMA) coordination and reporting, Risk Management Framework (RMF) application, IA compliance measurements and metrics, Assessment and Authorization (A&A), Vulnerability Management, and Cyber Defense support.
Position Description:
The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to:
-
Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets
-
Develop data-driven solutions
-
Analyze data sets found in the customer's vulnerability scanning, auditing, authorization, and configuration management tools
-
Import, transform, analyze, and visualize data and report actionable insights to the customer (e.g., Tableau)
-
Provide analysis and graphical presentations of collected metrics for IA compliance status reporting
-
Support and evolve legacy visualization and situational awareness tools based on Microsoft Excel into modern data-driven solutions
-
Collaborate with Risk Management teams to develop means to integrate, automate, and provide dynamic visualization capabilities for risk management efforts
Qualifications:
Required:
-
Requires 8 to 10 years with BS/BA or 6 to 8 years with MS/MA or 3 to 5 years with Ph.D.
-
Must possess and be able to maintain a TS/SCI with Poly
-
Able to support customer’s core hours (0900-1500; Mon – Fri)
-
Must possess DoD 8570 certification in IAT or IAM or able to attain within 6 months of contract start
-
Deep understanding of statistics and analysis
-
Skilled in artificial intelligence and machine learning (e.g., SageMaker)
-
Ability to code in multiple languages, including Python
-
Knowledge of databases, data structures, and data architectures
-
Excellent communications skills – both verbal and non-verbal
-
Office Automation Skills – MS Office, MS Project, Visio
-
Self-starter requiring limited direction and supervision
-
Strong attention to detail
-
Ability to work in a team environment
-
Experience with data visualization tools (e.g., Tableau, Infogram, Chartbloks)
-
Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.)
-
Experience applying statistical analysis to large data sets
Desired:
-
Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying AI/ML to security problems (anomaly detection, threat hunting)
-
Knowledge of adversarial machine learning techniques
-
Model development for security use cases (user behavior analytics, network traffic analysis)
-
Experience with security-focused data pipelines and feature engineering
-
Understanding of AI explainability and model interpretability in security contexts
-
Experience briefing senior customer personnel
-
Ability to organize and prioritize numerous customer requests in a fast-paced deadline driven environment
-
Familiarity with Amazon Web Services (AWS)
-
Familiarity with customer's IA processes
-
Experience with ServiceNow and Splunk
-
Experience supporting IC or DoD in the Cyber Security Domain
-
Familiarity with the RMF process
-
Experience with Relational Database Management System (RDMS)
-
Experience with Amazon Elastic MapReduce (EMR) and SageMaker
EEO Statement:
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.
