Exploitation Specialist

Exploitation Specialist - Data Scientist - Senior Position Requirement:
• MUST BE A US CITIZEN.
• ACTIVE TS/SCI CLEARANCE REQUIRED
• EXPERIENCE WITH PERFORMING THIS ROLE AT THE NATIONAL GEOSPATIAL INTELLIGENCE AGENCY REQUIRED Skills and Experience (Required):
Required
• Provide techniques for large-scale data analysis, correlation, aggregation, visualization, and querying across intelligence domains.
• Optimize current databases to expedite data input, export, query, and visualization.
• Collaborate with AOS and NGA CENTCOM (AOB) teams to plan how to migrate legacy datasets and devise ways for exposing new datasets.
• Create unique solutions (tools, processes etc.) to automate or assist analytic endeavors as submitted by AOS and AOB leadership and analytic units.
• Construct scripts for statistical models employing massive datasets in Visual Basic, R, Python, or another programming language to extract patterns, relationships, and anticipatory behaviors.
• Understand concepts related to structured data and relational databases and apply mathematical concepts and methodologies to solve complex GEOINT analysis problem sets.
• Utilize statistical software such as Matlab, R, Excel, SPSS, SAS, ArcGIS, or other programs to analyze and display operational data.
• Utilize the proper software to manage, transfer, and work with data across software applications, including SQL databases, ArcServer, and Tableau.
• Troubleshoot performance and access concerns pertaining to data visualization and analysis.
• Develop training solutions and tradecraft approaches for the discovery, preparation, modifying, and arranging of large amounts of data.
• Publish and create advanced techniques and methods for dissemination through the NGA Tradecraft HUB.
Desired
• Bachelor's degree or high-level degree is preferred in Computer Science, Mathematics, Statistics, or a related field.
• Experience relevant to data science, analytics, or a related field, preferably in the intelligence community.
• Proficiency in programming languages (Visual Basic, R, Python) and statistical software (SPSS, SAS, Matlab).
• Experience with database management systems (SQL, ORACLE, NoSQL) and data visualization tools (Tableau, ArcGIS).
• Strong problem and analytical solving skills, also able to work independently and collaboratively.
• Communication skills and the ability to explain complex concepts to non-technically oriented stakeholders.