What are the responsibilities and job description for the Exploitation Specialist - Data Scientist – Senior with Security Clearance position at Thomas & Herbert Consulting LLC?
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.
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