Supervisory Data Scientist

DCSA Acquisition and Technology, National Background Investigation Services (NBIS) is seeking a Supervisory Staff Data Scientist (GG-15). The incumbent will lead Enterprise AI and Data Architecture, guiding ML research and advising senior DoW leaders. Visit www.dcsa.mil to learn more about DCSA, America's Gatekeeper!

Major duties

As a Supervisory Data Scientist you will be responsible for the following duties: Performs expert level professional work in computer science, that may include data science, intelligence, artificial intelligence/machine learning (AI/ML), system analysis, risk analysis. Directs and coordinates specific data mining, analysis, modeling, development of mathematical algorithms and computer program design activities with government agencies. Implements strategies for system development and analysis, operational logistics, project funding/budgeting, project cost, schedule and performance management. Advises the PAE or Mission or Mission Support Areas and DCSA leadership on political, military and security aspects of emerging trends related to risks. Engages in routine contact with high-ranking individuals or groups such as flag officers and senior executive service members from the DOW, and representatives of non-DoW federal agencies.

Qualifications

This position has a Basic Requirement for the 1560: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. *NOTE: Failure to provide transcripts will result in you being rated ineligible for this position. The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Data Scientist 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 10/16/2026 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 - 14 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: Leading and executing expert-level professional computer science initiatives, including data science, intelligence, artificial intelligence/machine learning (AI/ML), system analysis, risk analysis, predictive analysis and computer simulation. Uncovering and explaining actionable insights from data by combining scientific method, math and statistics, specialized programming, advanced analytics, AI, and storytelling to major organizations, high-ranking government officials and key stakeholders within and outside the federal government. Directing and coordinating data mining, analysis, modeling, development of mathematical algorithms and computer program design activities with government agencies, and/or coalition partners. Formulating and implementing comprehensive strategies for system development and analysis, operational logistics, project funding/budgeting, project cost, schedule and performance management. Exercising full supervisory and managerial authority over a multidisciplinary team of technical experts, including establishing standards for technical adequacy and issuing written instructions for its accomplishment and coordination with other programs and groups. Specifically you will be evaluated on the following competencies: Leadership: Influences, motivates, and challenges others; adapts leadership styles to a variety of situations. Qualitative/Quantitative Analysis: Developing and applying quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets. Data Mining: Computing process of discovering patterns in a large data sets involving methods at the intersection of machine learning, statistics, and database systems. 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 codbases 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).

Education

Substitution of education may not be used in lieu of specialized experience for this grade level. Foreign Education: For further information, click on the following link: https://sites.ed.gov/international/recognition-of-foreign-qualifications/