Cyber Data Science Engineer
RDR, Inc.
Chantilly, United States of America
2 months ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Chantilly, United States of America
Tech stack
Microsoft Excel
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Big Data
Configuration Management
Computer Security
Computer Programming
Databases
Data Transformation
Data Structures
Data Visualization
Relational Databases
Programming Tools
Hadoop
Hadoop Distributed File System
Identity and Access Management
JSON
Python
Machine Learning
Microsoft Office
Microsoft Project
Microsoft Visio
Office Automation
Tableau
Splunk
Amazon Web Services (AWS)
ServiceNow
Vulnerability Analysis
Job 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, authorization, and configuration management tools
- Import and transform data into usable sets for analysis tools used by the customer (e.g., Tableau)
- Provide analysis and graphical presentations of collected metrics for IA compliance status reporting
- Support legacy visualization and situational awareness tools based on Microsoft Excel
- Collaborate with the Heat Map team to investigate options to simplify and automate the current Heat Map
Requirements
- Current U.S. Government Top Secret clearance with SCI eligibility.
- Favorably adjudicated Polygraph.
- Bachelor of Science Degree in Science, Technology, Engineering or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP)
- DoD 8570 certification in IAT or IAM
- 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:
- Experience briefing senior customer personnel
- Experience with Tableau administration
- Ability to organize and prioritize numerous customer requests in a fast pace 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 Apache Hadoop and the Hadoop Distributed File System
- Experience with Amazon Elastic MapReduce (EMR) and SageMaker
- Experience with Machine Learning or Artificial Intelligence