Data Scientist - Mid-Level

National Geospatial-Intelligence Agency
  • Location
    Springfield, Virginia
  • Sector
    Government
  • Experience
    Mid Career
  • Apply by
    Sep-05-2020
  • Posted
    Aug 26

Position 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 Job Information

ADDITIONAL INFORMATION: The National Geospatial-Intelligence Agency (NGA) serves as the world leader in providing timely, relevant, accurate and actionable geospatial intelligence (GEOINT). NGA's civilian, military and contract personnel evaluate imagery, maps, charts, multiple layers of foundation data - such as terrain, elevation and gravity - and the full spectrum of visible and invisible light in order to help users visualize what is happening at a particular place and time. Our intelligence officers go beyond describing what, where, and when to revealing how and why. Our work enables decision advantage for our policymakers, warfighters, intelligence professionals and first responders. 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). * Provide excellent customer support and interact with analytic units in a professional manner to help understand their challenges, incorporate their feedback, and provide quality solutions. This position may be eligible for an INCENTIVE: The selected candidates may be offered an incentive as part of the offer of employment, based on budget availability. To receive the incentive, the selected candidate must sign a service agreement depending on the approved amount or duration of the incentive. If the employee leaves before the end of the service agreement, the employee may be required to repay a pro rata share amount of the incentive to the government. Additional Application Requirement: You may be asked to complete one or more assessments in addition to the application you submit on this website as part of your application to NGA. These assessments may include but are not limited to: 1) Online questionnaires or assessments that require you to describe your job-related knowledge, skills, abilities, or other characteristics that are aligned with the mandatory and desirable qualifications of this job posting. The information you provide in the application you submit must support the response you provide to this questionnaire. You will receive an email to describe any additional assessments required. Please monitor your emails and complete any required assessments as soon as possible.

Mandatory Qualifications

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. Demonstrated proficiency in applied programming and/or manipulation of data with a programing language such as Python, R, SQL or Java (others languages will be considered). 2. Demonstrated experience developing and deploying automated processes to identify, collect, process, and analyze large data sets. 3. Demonstrated expertise with the use of data visualizations for exploratory comparative analysis by way of scripts, algorithms, and/or predictive models. 4. Demonstrated experience cleaning, filtering, transforming data, and/or enriching data. EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Mathematics, Data Science, Geographic Information Science, Information Science, Informatics and Computing, Information Science, or degree that provided at least 6 semester hours in statistics, and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. 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 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience that should have included 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.

Highly Desired Qualifications

QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: 1. Experience as a proven innovator and strategic problem solver. 2. Ability to communicate technically complex methods and solutions to non-technical audiences verbally or in writing. 3. Familiarity working with DoD analysts, such as geospatial and/or imagery analyst. 4. Familiarity with cloud services as applied in the DoD and IC. 5. Demonstrated expertise with visualization techniques and software tools (i.e. Tableau, matplotlib, etc.). 6. Experience applying analytic techniques such as classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, data reduction, and causal modeling.

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.

Application instructions

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