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  • ID
    #52607922
  • Salary
    TBD
  • Source
    Amentum
  • Date
    2024-09-30
  • Deadline
    2024-11-28

Expert Data Scientist

Missouri, Springfield, 65801 Springfield USA
 
Full-time

Your Impact:We are seeking an Expert Data Scientist to support our prime federal program in Springfield, Virginia. As an Expert Data Scientist, you will support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts, customers, and end users access, discover, stage, link, produce, re-integrate, and deliver intelligence. You will work with talented developers and colleagues, gaining exposure to industry best practices such as AWS cloud solutions.Responsibilities:

Able to develop & use exceptionally complex concepts & processes that span multiple organizations and disciplines

Performs multiple tasks at specialist level

Will be recognized as a SME

Evaluates & recommends new technology & processes based upon cost, risk, mission

Supports the Chief Data Office with building data storage architecture, including schema, formatting, indexing, accessing, retrieving, and maintaining data integrity.

#divergent #geodsHere’s What You’ll Need:

Knowledge and experience with data management, transformation, visualization, analysis, and organization tools and techniques

Knowledge and experience with Search tools, Search results organization and the implications of metadata organization, indexing, catalog content

Overall Data Wrangler - ability to demonstrate organized structure for data when there appears to be none due to differences in data types and sources

Interdisciplinary bridge builder who understands the Internet, databases, analytics, visualization, and data curation

Ability to categorize the data and metadata to build the metadata application profile.

Knowledge of metadata standards

Recognized as Subject Matter Expert for work with Information/Library Science

Experience in GIS-related applications

Experience with using scripting languages to conduct common data analysis tasks for exploration, conditioning, and advanced analytics

Knowledge of visual programming or object-oriented modeling workflows to automate data acquisition

Ability to manipulate data from multiple structured and unstructured data sources

Ability to identify and appropriately evaluate a wide range of existing methods, models and algorithms in familiar domains for a variety of mission driven problems while recognizing the capabilities and limitations of each method

Deep knowledge and experience with Geospatial Information Systems (GIS).

Experience with Intelligence Community, DoD, and / or Federal Government imagery systems to include tasking, processing, exploitatiokyln, analysis, and writing imagery reports using GEOINT “Geospatial” imagery data and products, to include raster and vector data types.

Experience in meeting requirements on scheduled collaborative work with other organizations in a fast-paced and/or constantly changing environment.

Experience analyzing imagery and “spatial” data from many sources (structured and unstructured) and incorporating it into visual displays of essential information for use in national defense, homeland security, and safety of navigation.

Experience with maintaining and building tasking strategies, and analyzing and interpret imagery to support U.S. military and policymaker interests.

Experience analyzing the activities and interests of countries, regions, and non-state entities, as well as the impact of natural and man-made disasters. In addition, conducting multi-GEOINT research, populate and exploit intelligence databases, and produce and disseminate intelligence products and user story briefs for leadership.

GIS “spatial” data management tools

Experience with Esri ArcGIS.

Clearance Required:

TS/SCI CI Poly

Minimum Education/Years of Experience:

Master’s degree plus 4 years’ experience, Bachelor’s degree plus 6 years’ experience, Associates degree plus 12 years’ experience, or a minimum of 15 years’ experience, in relevant field

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