Data Scientist (Hiring Event- EXTENDED)

Full Job Description

Data Scientists develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products and services.

They apply advanced mathematical, statistical, and scientific techniques and principles (e.g., probabilistic modeling, machine learning, computer vision, natural language processing) to examine complex problems and create insights from data.

They in MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required).

Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement: 1.

Demonstrated experience utilizing visualization tools such as Tableau, ArcGIS Pro, or Python/R visualization packages. 2.

Demonstrated experience using data visualization (e.g., scripts, algorithms, predictive models, etc.) for exploratory comparative analysis. 3.

Demonstrated experience utilizing structured or unstructured data for exploratory data analysis, classification, regression and/or other types of statistical analysis. 4.

Demonstrated experience analyzing large data sets. EDUCATION REQUIREMENT: A.

Education: Bachelor's degree from an accredited college or university in Mathematics, Data Science, Statistics, Computer Science, Geographic Information Science, Information Science, Informatics and Computing, or a related field that provided at least 6 semester hours in statistics and 9 additional semester hours in scientific or technical coursework such as engineering, medicine, physical, biological, or social sciences.

Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

-OR- B.

Combination of Education and Experience: A minimum of 30 semester hours (45 quarter hours) of courses equivalent to a major field of study in any area listed in Option A plus experience that included programming for data science (e.g., Python, R) and a full range of professional statistical work such as: (a) intermediate and/or advanced statistics, (b) linear, semi-linear, and/or non-linear models, (c) working with a range of data types and statistical methods, or (d) data visualization capabilities.

As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: 1.

Experience in applying analytic techniques (classification, regression, clustering, data reduction, or causal modeling) to solve data problems. 2.

Experience collaborating with experts in other fields to analyze and respond to customer requirements. 3.

Demonstrated expertise with one or more visualization techniques and/or software tools (i.e., Tableau, matplotlib, etc.). Major Duties:

This Job Announcement will be used used to build a pool of qualified applicants for a hiring event taking place on 28 February 2026 thru 1 March 2026.

The National Geospatial-Intelligence Agency (NGA) serves as the world leader in providing timely, relevant, accurate and actionable geospatial intelligence (GEOINT).

Data Scientists apply the application of programming, statistics and visualization to glean insights from large and disparate data sources.

Data Scientists understand and utilize aspects of machine learning to solve and automate classification, regression, cluster analysis, anomaly detection, association discovery, and topic modeling tasks.

Data Scientists understand and utilize solutions with predictive patterns from data into practical, intelligent applications that anyone can use.

They can utilize rich toolsets to help users create, rapidly experiment, fully automate, and manage machine learning workflows to power intelligent applications.

They produce intelligence using geospatial methodologies and spatio-temporal data derived from imagery, intelligence databases, and other classified and unclassified sources in support of national security.

They are intelligence analysts who use their understanding of geographic information science and technology, spatial thinking, remote sensing, intelligence issues, spatial relationships and visualization techniques and the social and physical sciences to create information, characterize events, and discover relationships and trends.

They produce descriptive and predictive analyses and communicate findings as written, visual, and/or oral geospatial intelligence.

Other duties may include: Develop and apply quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets for specified purposes; Identify trends, solves analytical problems, optimizes performance, and develop results through appropriate data analysis techniques (e.g., data mining and retrieval); Use applied statistics, build algorithms, and collaborating with domain experts to analyze large volumes of data to build and enhance products, processes, and systems Possess the ability to think tactically and strategically; operate in a dynamic environment; and deliver interoperable corporate solutions.

They will have extensive experience in building and maintaining geodatabases and integrating and managing foundation, intelligence, and multi-INT data into structured geodatabases.

Seek out spatial data from classified and unclassified sources and utilize existing tools or develop methods to tie spatial information to datasets where necessary.

Builds and maintains professional relationships with other NGA offices and external partners to collaborate on effective data management, data dissemination, and online on-demand practices Conduct data mining and retrieval and apply statistical and mathematical analysis to identify trends, solve analytic problems, optimize performance, and gather intelligence.

Develop scripts and algorithms (e.g. Python), create explanatory and predictive models and conduct comparative analyses to address complex military and intelligence problems.

Support the visualization of information using a range of tools (e.g. Tableau, R, and ESRI Arc-GIS 10.4 suite, including model builder).