Cyber Data Scientist IV

Arcfield•Chantilly, VA

About The Position

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. 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

Requirements

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

Nice To Haves

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

Responsibilities

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