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DATA SCIENTIST (DATA ARCHITECT/DATA ENGINEER/AI-ML SPECIALIST)

  • Hanover, MD, United States
  • Boyers, PA, United States
  • Quantico, VA, United States
  • Stafford, VA, United States

$105,262 to $160,933 USD / year

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Job details

Pay
$105,262 to $160,933 USD / year
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Posting language
English
Posted

Original job description

Summary DCSA Acquisition and Technology, National Background Investigation Services (NBIS) is seeking a non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The incumbent will provide support, guidance and expertise in various Data Scientist functions. Performs a variety of duties that involve knowledge of a wide variety of Data Scientist applications, environments, and methods. Visit www.dcsa.mil. Duties This position may be filled at either GG-11 or GG-12 grade level, please indicate the grade for which you want to be considered. Incumbent may be advanced non-competitively to the established target grade upon meeting developmental benchmarks, performance requirements, and other requirements, as applicable established for the career program or specifically for the incumbent. As a DATA SCIENTIST (DATA ARCHITECT/DATA ENGINEER/AI-ML SPECIALIST) you will be responsible for the following duties:

GG-11:

  • Assists in performing professional work in data science, intelligence, artificial intelligence/machine learning (AI/ML), and system analysis.
  • Applies standard analytic methods (such as regression and decision trees) to improve data reliability and quality.
  • Helps identify, collect, and analyze data to effectively support and advance projects or programs.
  • Collaborates with team members to ensure data accuracy and consistent reporting.

GG-12:

  • Independently performs professional work in data science, intelligence, artificial intelligence/machine learning (AI/ML), and system analysis.
  • Selects and applies appropriate analytic methods to improve data reliability and quality.
  • Identifies, collects, and analyzes data to effectively support and advance projects or programs.
  • Collaborates with stakeholders to ensure data accuracy and informs management of anticipated revisions to methodologies or procedures.

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.

In accordance with DoDD 8140.01/DoDI 8140.02, the position compliance requirement details are outlined in the Defense Cyber Workforce Annex (attached). Any Information Technology/Security certifications / education specified in the DCWF Annex as defined by DoD 8140-M within six months of appointment date. The incumbent must sign a Statement of Understanding regarding the certification requirements and maintaining the appropriate certification is a condition of employment.

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 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 11/13/2026

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.

For the GG-11

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-09 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:

  • Assisting in applying statistical, machine learning, natural language processing, or other advanced analytical methods to solve problems involving structured and unstructured data.
  • Supporting the design, development, and validation of predictive models, quantitative analyses, and data-driven decision-support products under guidance.
  • Independently executing components of data analysis projects from problem definition through data acquisition, preparation, and modeling (using SQL, Python, Power BI, or other tools).

For the GG-12

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-11 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:

  • Applying statistical, machine learning, natural language processing, or other advanced analytical methods to solve complex problems involving structured and unstructured data.
  • Designing, developing, and refining predictive models, quantitative analyses, and data-driven decision-support products.
  • Leading components of data analysis projects from problem definition through data acquisition, preparation, and modeling.

Specifically you will be evaluated on the following competencies:

  • Data Mining - Computing process of discovering patterns in a large data set involving methods at the intersection of machine learning, statistics, and database systems.
  • Data Management - Knowledge of the principles, procedures, and tools of data management, such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes.
  • 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).
  • Qualitative / Quantitative Analysis - Developing and applying quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets.

Education If substituting education for experience at the GG-11 level, you must possess a Ph.D. or equivalent doctoral degree or 3 full years of progressively higher graduate education leading to such a degree, OR LL.M., if related.

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/ How you will be evaluated You will be evaluated based on how well you meet the qualifications listed in this vacancy announcement. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), the responses you provide on the application questionnaire.

EXCEPTED SERVICE PILOT REVIEW: Once the application process is complete, a review of your application will be made to ensure you meet the qualification requirements listed on this announcement. All applicants who meet the basic qualification requirements will be forwarded to the Selecting Official for consideration.

You should list any relevant performance appraisals and incentive awards in your resume as that information may be taken into consideration during the selection process. If selected, you may be required to provide supporting documentation.

Top ranked candidates will be referred to the selecting official for further review and consideration.

A review of your resume and supporting documentation will be made and compared against your responses to the Assessment Questionnaire to determine if you are qualified for this job. If your resume is incomplete or does not support the responses provided in the Assessment Questionnaire, or if you fail to submit all required documentation, you will be rated 'ineligible', 'not qualified'.

Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment.

All eligibility and qualifications requirements must be met by the closing date of this announcement. How to apply To apply for this position, you must complete the online application and submit the documentation specified in the Required Documents section below.

The complete application package must be submitted by 11:59 PM (EST) on the closing date to receive consideration.

  • To begin, click Apply Online to access an online application. Follow the prompts to select your USAJOBS resume and/or other supporting documents. You will need to be logged into your USAJOBS account or you may need to create a new account.
  • You will be taken to an online application. Complete the online application, verify the required documentation, and submit the application. NOTE: Resumes up to a total of two pages will be accepted. Resumes exceeding two pages will be removed from consideration.
  • You will receive an email notification when your application has been received for the announcement.
  • To verify the status of your application, log into your USAJOBS account, https://www.usajobs.gov, select the Application Status link and then select the More Information link for this position. The Application Status page will display the status of your application, the documentation received and processed, and your responses submitted to the online application. Your uploaded documents may take several hours to clear the virus scan process.

To preview the questionnaire, please go to https://apply.usastaffing.gov/ViewQuestionnaire/13107666.

Please review the General Application Information and Definitions at:

https://www.dla.mil/Portals/104/Documents/Careers/downloads/DoDGenAppInfo%2012-1-2020.pdf?ver=ECNbdsHtGilTd3OENN4A0Q%3d%3d

As required by 5 C.F.R. § 302.106., DLA will provide Section 508 conformant ICT to employees with disabilities. All ICT interfaces with the public related to vacancy announcements and career transition opportunities must conform to the applicable requirements in the current ICT Standards and Guidelines (36 C.F.R. § 1194). Other information

VETERANS PREFERENCE/CURRENT OR FORMER FEDERAL

In accordance with DoD Instruction 1400.25, Volume 2005, veterans preference is not required to be applied when considering candidates with prior Federal competitive or excepted service who have completed a probationary or trial period and have not been separated for cause. Therefore, veterans preference will not be applied to applicants with current federal service, or former federal civilian service meeting the above criteria.

Re-employed Annuitant: This position does not meet criteria for re-employed annuitant. The DoD criteria for hiring Re-employed Annuitants can be found at: https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/140025/1400.25-V300.pdf

Applicants selected from this announcement may be required to serve a two-year trial period.

If selected, Federal employees currently serving in the competitive service must acknowledge that they will voluntarily leave the competitive service by accepting an offer of employment for a DCIPS excepted service positions.

If selected, non-DCIPS candidates must acknowledge in writing that the position they have been selected for is in the excepted service and covered by DCIPS.

All Defense Intelligence positions under the Defense Civilian Intelligence Personnel System (DCIPS) are in the excepted service by specific statue, 10 U.S.C. 1601. This position is in the excepted service and does not confer competitive status.

For more information on the DCIPS occupational structure click here.

For more information about career advancement in DCIPS click here.

ACQUISITION POSITION: This position requires a Defense Acquisition Workforce Improvement Act (DAWIA) Engineering & Technical Management, Foundational level. Certification prior to hiring is not essential but must be accomplished within 3 years (36 months) after entry into this position. For information regarding the DAWIA Back to Basics please visit: Home (dau.edu) or Back to Basics - Helpful Resources (dau.edu)

  • DAWIA (Back to Basics) Certification: NON-CAP: Position requires DoD Acquisition Foundational certification in Engineering & Technical Management within required timeframes. Selectee must also achieve 80 hours of Continuous Learning Points (CLPs) every 2-years. Click here for more details and Resources.

This position is subject to an initial drug screening, and random testing thereafter. A negative drug test result must be received by HR within 30 calendar days after the EOD (i.e., start date). The selectee's inability successfully pass; or refusal to conduct the test may result in: 1) the tentative or FJO being withdrawn during the recruitment process; or 2) subsequently being removed from Federal service for failure to meet a condition of employment.

You may be required to sign a "Drug Test Statement of Understanding" if you are selected for this position.

More about this job

Skills

  • ML
  • Artificial intelligence
  • Machine learning
  • Reporting
  • Regulatory compliance
  • Computer technology
  • Statistics
  • Computer science
  • Personnel management
  • Natural language processing
  • Unstructured data
  • Data analysis
  • SQL
  • Python
  • Microsoft Power BI
  • Data mining
  • Database management systems
  • Data management
  • Data warehousing
  • Tableau
  • Programming languages
  • Oracle Java
  • JavaScript
  • Scala
  • C
  • C#
  • C++
  • R
  • Apache Hive
  • Oracle
  • MySQL
  • NoSQL
  • Apache Hadoop
  • Apache Spark
  • ESRI ArcGIS
  • Project management
  • Atlassian JIRA
  • Agile
  • Documentation

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