Cyber Data Science Engineer

RDR, Inc.

Chantilly, VA, United States

15 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Microsoft Excel Artificial Intelligence Amazon Web Services Data Analysis Big Data Cyber Security Computer Programming Databases Data Architecture Data Transformation Data Structures Data Visualization

+18 more

Relational Databases Programming Tools Apache Hadoop Hadoop Distributed File System Identity and Access Management JSON Python (Programming Language) Machine Learning Microsoft Office Microsoft Project Microsoft Visio Office Automation Tableau (Software) Infrastructure Automation Frameworks Splunk Amazon Elastic Mapreduce (EMR) 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 with 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