Data Scientist / Senior Exploitation Specialist

Overview

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.

Responsibilities

Job Description :

The Senior Data Scientist will be responsible for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines on-site at NGA locations in either Tampa, FL, St. Louis, MO or Springfield, VA optimizing existing databases to improve response time. The DS will also be required to script in Visual Basic, R, python and work with ArcGIS, Excel, SPSS, SAS, MatLab, R, etc. to maintain, access, and move data from databases and applications to include : SQL databases, ArcServer, NoSQL databases, Excel, and Tableau.

Job Duties Include (but not limited to) :

• Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines.
• Optimize existing databases to speed up the query, input, export, and visualization of data.
• Work with AOS and NGA CENTCOM (AOB) teams to develop strategies for exposing new datasets and create migration plans for legacy datasets.
• Build custom solutions (tools, processes, etc.) to automate or assist analytic endeavors as submitted by AOS and AOB leadership and analytic units.
• Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, hypothesis testing, and knowledge capture.
• Solve complex GEOINT analysis problem sets; understand concepts associated with structured data and relational databases.
• Maintain, move, and manipulate data between applications, using appropriate software; SQL databases, ArcServer, table data, relational / NoSQL DBMS, Microsoft EXCEL spreadsheets, ACCESS database management system, Tableau, Insights, ORACLE, and analyst provided data for ingest and cleaning.
• Develop tradecraft techniques, training solutions for discovery, preparation, manipulation and normalization of big data so that methods are repeatable and can be explained to users.

Qualifications

Required Skills & Experience :

Education & Certifications :

Security Clearance :

Benefits :

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans