Data Scientist

Defense Counterintelligence and Security Agency; Quantico (VA); On-site; USD 90,000 - 140,000; Full time

Job summary

Defense Counterintelligence and Security Agency (DCSA) seeks a data-driven professional to lead data engineering, big data analytics, and governance initiatives in support of cyber and information security.

You will collaborate across IT, cyber, and compliance teams, leverage tools like Cloudera, Tableau, DataWalk, Hadoop/Spark, and ensure regulatory compliance while delivering actionable insights.

Qualifications

• Experience leading teams in analyzing data in cyber, IT to ensure plans meet programming.
• Experience with information systems hardware/software and big data analytics and operational research.
• Experience in ensuring information used complies with regulations and security policies.
• Expertise in planning, developing and implementing data governance and management programs.

Skills

Data Engineering

Software & Programming

Writing

Tools

Cloudera Data Platform

Cloudera Data Flow

Tableau

DataWalk

Apache Hadoop/Spark

ArcGIS

JIRA

Agile

Job description

The Cyber Mission Center (CMC), Counterintelligence & Insider Threat Directorate, implements counterintelligence activities in cyberspace-to identify, assess and disrupt cyber-based threats to cleared industry, cleared personnel, DoD, and DCSA.

CMC includes the use of data science tools and analyses to develop models, predictions and counterfactual analyses that form the foundation for evidence-based policy making, to propose Federal management policy options and legislative changes.

The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Data Science Series 1560 for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 11/23/2026 Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position. You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GS/GG-12 in the Federal service and are prepared to take on greater responsibility. Generally, this would include one year or more of such specialized experience. Specialized experience for this position includes:

• Experience leading teams in analyzing data in cyber, information technology to ensure plans meet programming.
• Experience using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research.
• Experience in ensuring information used is in compliance with regulations and security policies.
• Expertise in planning, developing and implementing data governance and management programs.

Specifically you will be evaluated on the following competencies:

• Data Engineering: Work in any development environment regardless of their programming language. Keep up to date on data science and applied statistics techniques. Maintain and improve existing codebases and peer review code changes. Knowledge of Data Streaming Principles, Data Modeling, and Data Visualization. Ability to collaborate with vendors, clients, and other analysts.
• Software and Programming: Leverage and optimize the use of existing OIG specific software (such as Cloudera Data Platform, Cloudera Data Flow (Apache Nifi), Tableau, DataWalk), while recommending future software mix. Understand a variety of programming languages (such as Java/Javascript, Scala, Python, C/C#/C++, R) as needed to meet software and business needs. Understand a variety of data warehousing platforms (such as Cloudera/Hive, Oracle, SQL, MySQL, NoSQL), big data software (such as Tableau, DataWalk, Apache Hadoop/Spark, ArcGIS), and data science project management and version control applications (such as JIRA, Agile).
• Writing: Recognizes or uses correct English grammar, punctuation, and spelling; communicates information (for example, facts, ideas, or messages) in a succinct and organized manner; produces written information, which may include technical material that is appropriate for the intended audience.