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Government Contracting, Defense, Security, Logistics, Information Technology

Sr. Exploitation Specialist/Data Scientist (TS/SCI)

Fayetteville, North Carolina, United StatesOnsiteFull TimeSeniorPosted 5 days agoVisa sponsorship available

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Role summary

Culmen International is seeking experienced Data Scientists to support the National Geospatial-Intelligence Agency (NGA) in Fayetteville, NC. This role involves working with large, complex datasets to develop data-driven solutions, architecting data science initiatives, and applying advanced analytical techniques to solve intelligence challenges for the DoD and Intelligence Community. Responsibilities include leading solution design, collaborating with stakeholders, performing exploratory data analysis, implementing optimization models, and mentoring team members. A Master's degree in Data Science or a related technical field and experience with AI/ML, programming languages like Python, and geospatial tools are required.

Culmen International is hiring
**Sr.

Exploitation Specialist/Data Scientist

s**

to provide support
on-site

at

the
**National

Geospatial-Intelligence

Agency (NGA)**

in
**Fayetteville, NC., supporting an Analysis Office

(AOT/US SOCOM)
.**

The National Geospatial-Intelligence Agency (NGA

)

expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG).

The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge
  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products
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