Job summary

DCSA's National Background Investigative Services (NBIS) is looking for a Data Scientist to serve as a technical specialist and advisor to high-ranking government officials and senior supplier personnel. Provide support to information systems projects of interest and significance to the government. Responsible for addressing and integrating talent and culture, governance and administration data and architecture standardization. Visit www.dcsa.mil - America's Gatekeeper!

Major duties

The Office Under Secretary of Defense for Intelligence and Security established a Targeted Local Market Supplement (TLMS) for certain Science, Technology, Engineering, Mathematics, and Cyber positions within the Defense Civilian Intelligence Personnel System. Eligibility for the TLMS is based on cyber work roles within certain occupational series and on the work performed. This vacancy is designated as a STEM and/or Cyber position and pay for the incumbent will be based on the STEM and Cyber Pay Table. As a DATA SCIENTIST you will be responsible for the following duties: Performs professional work in computer science, that may include data science, intelligence, artificial intelligence/machine learning (AI/ML), system analysis, risk analysis, predictive analysis and computer simulation. - Analyzes, interprets and correlates qualitative and quantitative data providing technical, scientific and engineering advice on efforts of military, civilian and contractor personnel to achieve DCSA objectives on a wide variety of efforts. - Serves as a catalyst for creative engineering/computer scientist thinking to integrate new technology capabilities and opportunities to develop more effective and responsive intelligence. - Applies analytic methods such as regression, decision tree and statistical probability to improve data reliability and quality. - Creates unprecedented approaches, analytical tools and methods to analyze unique situations and draw accurate and significant conclusions. - Plans, describes and/or develops computer programs required to keep existing software responsive to constant changing data requirements. - Uncover and explain 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.

Qualification

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 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 12/23/2024 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-07 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 with statistical and general-purpose programming languages for data analysis. General knowledge with programming languages such as HTML, C++, VBA, FOCUS, SQL, Python, R and other computational languages to develop queries for the support of reporting and advanced analytical and machine learning capabilities. Experience with detailed risk assessments. Entry level experience with natural language processing, text mining, or machine learning techniques. Functioning successfully in support of mission or business units will require skill in assisting or providing recommending related to analytic approaches and or solutions to entry level assignments. Or a Master's or equivalent degree or 2 full years of progressively higher level graduate education leading to such as degree. Specifically you will be evaluated on the following competencies: 1. 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. 2. Data Analysis: Manipulate and exploit internal and external, structured and unstructured data sources to accomplish organizational goals. 3. Qualitative/Quantitative Analysis: Developing and applying quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets. 4. 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

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. If substituting education for experience, for the GG-09 level, a Master's or equivalent degree or 2 full years of progressively higher level graduate education leading to such as degree. Superior Academic Achievement does not apply to DCIPS positions. If substituting education for experience, transcripts MUST be provided. Failure to provide transcripts will result in you being rated ineligible for this position. Foreign Education: For further information, click on the following link: https://sites.ed.gov/international/recognition-of-foreign-qualifications/

Evaluations

Read the job opportunity carefully to make sure you have included all required contact information. Include dates, hours, level of experience and examples for each work experience For each work experience you list, make sure you include: Start and end dates (including the month and year). The number of hours you worked per week. The level and amount of experience-for instance, whether you served as a project manager or a team member helps to illustrate your level of experience. Examples of relevant experiences and accomplishments that prove you can perform the tasks at the level required for the job as stated in the job announcement. Your experience needs to address every required qualification. If your resume does not clearly outline details for each position as noted, you may be deemed "not referred" for this position. Once the application process is complete, your resume and supporting documentation will be used to determine whether you meet the job qualifications listed on this announcement. If you are minimally qualified for this job, your resume and supporting documentation will be compared to your responses on the Occupational Questionnaire. If you rate yourself higher than is supported by your application materials, your responses may be adjusted and/or you may be excluded from consideration for this job If you are found to be among the top candidates, you will be referred to the selecting official for employment consideration.