26 days old
  • Job Type
  • Job Status
    Full Time

Cover Letter

Applicants are NOT required to submit a cover letter. The entire cover letter cannot exceed the specified limits provided in the Cover Letter field (3,000 characters). Pages exceeding this limit will not be considered. The cover letter is recommended but is not required for employment consideration with the National Geospatial-Intelligence Agency. Applicants should place their narrative information in the Cover Letter / Other Professional Details field.


Pay, Benefits, & Work Schedule

PROMOTION OPPORTUNITY: Promotion opportunities allow applicants at all band levels to be considered.  Qualifications for NGA positions do not include specific time-in-band requirements.  NGA will emphasize quality of experience, rather than duration, and assess how the quality of the experience demonstrates possession of the knowledge, skills, abilities, and competencies necessary for successful job performance in the NGA occupational structure.


Band 03   $61,801 - $126,062

Band 04   $88,084 - $148,967


PERMANENT CHANGE IN STATION: PCS expenses are not authorized.


Pay is only part of the compensation you will earn working for the Federal Government. We offer a broad array of benefits programs and family friendly flexibilities to meet the needs of you and your family. 


For more information on the array of benefits programs, please visit https://www.intelligencecareers.gov/nga/ngabenefits.html





Position Summary

ASSIGNMENT DESCRIPTION: Data Scientists develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. They conduct data mining and retrieval, and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence. They visualize information using a range of tools (e.g., GIS, R), develop scripts and algorithms, create explanatory and predictive models, and conduct comparative analyses to address complex problems.


Additional Position Info

ADDITIONAL INFORMATION: The Data Scientist will serve as a member of the Data Corps, a new team of experts in data analytics, engineering, science, and stewardship, reporting to NGA's Chief Data Scientist. Data Corps is a central aspect of NGA's data-enabled workforce initiative. Data Corps team members create new and innovative ways to address mission and business data challenges. We solve data-related problems, teach our colleagues to make more informed decisions, and prepare our colleagues to solve data-related problems themselves. As a team member you'll work with office and directorate level data professionals on projects that solve their data-related problems. You'll engage with these professionals to rapidly understand their problems and needs, then iteratively develop and release solutions to these problems. The projects you'll work on are prioritized to achieve the Agency's mission, and your solutions will scale throughout the Agency. Team members' time will be dedicated to learning the latest and emerging technical skills, tools, and best practices needed to solve data problems, and are also expected to share knowledge with others. That knowledge includes but is not limited to skills, tools, and best practices. You'll support your peers in multiple ways, such as 1:1 tutoring, leading office hours, and creating and teaching courses.


The Data Scientist must possess the ability to think strategically; a demonstrated ability to operate in a dynamic environment; proven ability to deliver interoperable, enterprise-wide solutions; keen problem-solving skills; and strong interpersonal skills to work internally with different stakeholders and externally with academia, industry, and other agencies to develop and deliver corporate solutions. The Data Scientist will excel at leading innovation and navigating ambiguity, be adept at building coalitions, sharing expertise, mentoring, and will exemplify a customer-service mindset. 


Please note that proficiency testing may be required for this position in the future. It is recommended that applicants document their knowledge of tools and languages, and associated proficiency levels, as well as focus on the impact of their work. Please include this information in your cover letter and/or resume for each work experience.

Specific duties include:   

1. Working as a team to develop and deliver enterprise-wide solutions for complex data challenges.

2. Developing and applying methods by collecting, processing, and analyzing large volumes of data to build and enhance products, processes, and systems.

3. Select techniques and methods to conduct data mining and retrieval and to apply statistical and mathematical analyses to identify trends, solve problems, and optimize performance.

4. Visualize information, using a moderate range of tools, scripts and algorithms, create explanatory and predictive models, and conduct comparative and alternative analysis to address complex military and intelligence challenges.

5. Apply statistical and mathematical analysis to identify trends, conflicts, opportunities, solve complex analytic problems, and optimize data interoperability.


How To Apply - External

Application submission involves applying using the Intelligence Community's Applicant Gateway on-line application process. 





As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards. 


- U.S. Citizenship Required

- Security Clearance (Top Secret/Sensitive Compartmented Information)

- Polygraph Test Required

- Position Subject to Drug Testing

- Two Year Probationary Period

- Direct Deposit Required


How Will I Be Evaluated?

APPLICANT EVALUATION PROCESS: Applicants will be evaluated for this job opportunity in three stages: 


1. All applicants will be evaluated using the Mandatory Qualification Criteria. 

2. Qualified applicants will then be evaluated by an expert or panel of experts using a combination of qualification criteria to determine the best-qualified candidates. 

3. Best-qualified applicants may then be further evaluated through an interview process. 


Applicants are encouraged to carefully review the Assignment Description, Additional Information Provided By the Selecting Official, and the Qualification Requirements; and then construct their resumes to highlight their most relevant and significant experience and education for this job opportunity. This description should include examples that detail the level and complexity of the performed work. Applicants are encouraged to provide any education information referenced in the announcement. If education is listed as a mandatory requirement, only degrees obtained from an institution accredited by an accrediting organization recognized by the Secretary, US Department of Education will be accepted.  


In accordance with section 9902(h) of title 5, United States Code, annuitants reemployed in the Department of Defense shall receive full annuity and salary upon appointment. They shall not be eligible for retirement contributions, participation in the Thrift Savings Plan, or a supplemental or redetermined annuity for the reemployment period. Discontinued service retirement annuitants (i.e., retired under section 8336(d)(1) or 8414(b)(1)(A) of title 5, United States Code) appointed to the Department of Defense may elect to be subject to retirement provisions of the new appointment as appropriate. (See DoD Instruction 1400.25, Volume 300, at http://www.dtic.mil/whs/directives.)


All candidates will be considered without regard to race, color, religion, sex, national origin, age, marital status, disability, or sexual orientation.


NGA provides reasonable accommodations to applicants with disabilities. Applications will only be accepted online. The decision on granting reasonable accommodation will be on a case-by-case basis.


DCIPS Disclaimer


NGA utilizes all processes and procedures of the Defense Civilian Intelligence Personnel System (DCIPS). Non-executive NGA employees are assigned to five distinct pay bands based on the type and scope of work performed. The employee's base salary is established within their assigned pay band based on their unique qualifications. A performance pay process is conducted each year to determine a potential base pay salary increase and/or bonus. An employee's annual performance evaluation is a key factor in the performance pay process. Employees on term or temporary appointments are not eligible to apply for internal assignment opportunity notices. 


This position is a DCIPS position in the Excepted Service under 10 U.S.C. 1601.  DoD Components with DCIPS positions apply Veterans' Preference to preference eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are an external applicant claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must self-identify your eligibility in your application.


This position is funded by the National Intelligence Program (NIP).


Mandatory Qualification Reqs

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online applications must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement: 


1. Proficiency in at least one of the following languages: Python, R, Java, as applied to programming access and manipulation of data (other languages will be considered).

2. Managed and delivered solutions to problems, to include cleaning, filtering, and transforming data, as well as enriching data, especially by way of database joins or table lookups.

3. Designed or delivered enterprise solutions enabling access to data by way of databases or dashboards.

4. Demonstrated expertise in math, statistics, and quantitative analysis. Has used analytic techniques such as classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, data reduction, and causal modeling. Has experience developing and deploying automated processes.

5. Demonstrated data visualization expertise including the use of common software tools (i.e. Tableau, matplotlib, etc.) and the use of data visualizations for exploratory data analysis. 

6. Able to communicate with leadership, through reports and briefings, the results of the team's innovation - utilizing data to solve problems or close knowledge gaps.


EDUCATION REQUIREMENT: A. Education: Bachelor's degree in Applied Mathematics, Computer Science, Data Science, Geographic Information Science, Informatics and Computing, Information Science, Operations Research, Statistics, or a related discipline. -OR- B. Combination of Education and Experience: A minimum of 30 semester (45 quarter) hours of coursework in any area listed in option A plus experience that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of college work is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. -OR- C. Experience: Six years of experience in working with large or complex data sets, including performing data mining, running complex queries, or performing tasks in related areas of work.


Highly Desired Skills

QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: 

1. Applicants are expected to be proven innovators and strategic problem solvers.

2. Applicants are expected to be focused on the implementation of the data-enabled workforce, leading a transformative environment within the Agency. Flexibility, comfort with ambiguity, and a corporate focus are essential.

3. Applicants are expected to collaborate in a high performance team environment, since knowledge sharing and innovative complex problem solving is an underpinning of the Data Corps approach.


It is recommended to have at least 8 years of relevant experience, to include academia, to be considered at the Pay Band 4 level.


Additional Job Requirements

You must be able to obtain and retain a Top Secret security clearance with access to Sensitive Compartmented Information. In addition, you are subject to a Counterintelligence Polygraph examination in order to maintain access to Top Secret information. All employees are subject to a periodic examination on a random basis in order to determine continued eligibility. Refusal to take the examination may result in denial of access to Top Secret information, SAP, and/or unescorted access to SCIFs.

Employees with SCI access and who are under NGA cognizance are required to submit a Security Financial Disclosure Report, SF-714, on an annual basis in order to determine continued eligibility. Failure to comply may negatively impact continued access to Top Secret information, Information Systems, SAP, and/or unescorted access to SCIFs.


  • Data Analytics
  • Data Engineer
  • Data Scientist


  • Government / Civil Service

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