Senior Exploitation Specialist / Data Scientist

St. Louis, MO, United States

Iron EagleX

IEX is a Service-Disabled Veteran-Owned Small Business (SDVOSB) born in California’s Silicon Valley and led by former Special Operations Forces (SOF) combat veterans turned business executives. IEX employees rely on their intelligence,...

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Overview

Iron EagleX (IEX) is a technology-driven innovator dedicated to IT modernization and cutting-edge technical solutions in the fields of data science, artificial intelligence/machine learning (AI/ML), and other specialized areas of computer science. We also deliver advanced intelligence and cybersecurity services to the U.S. Department of Defense and other federal agencies. Our team of experts thrives on solving complex challenges, driving mission success through innovation, and fostering a collaborative culture that values integrity and excellence. Joining IEX means contributing to critical missions, working with leading technologies, and advancing your career in a dynamic and rewarding environment.

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 Campus West (NCW) in St. Louis, MO 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:

  • Ability to apply structured processes to enrich or manage data  
  • Ability to apply GEOINT standards and quality. 
  • Ability to communicate with clarity and accuracy both verbally and written 
  • Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.

 

Education & Certifications:

  • Bachelor’s degree in Computer Science is preferred

Security Clearance: 

  •  An active TS/SCI security clearance is Required

Benefits:

  • National Health, vision and dental plans
  • 20 days of PTO and 11 paid holidays
  • Life Insurance
  • Short – and long-term disability plans
  • 401(K) retirement plans
  • Incentive and recognition programs
  • Relocation opportunities
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Big Data Computer Science Excel Machine Learning Matlab NoSQL Oracle Python R RDBMS SAS Security SPSS SQL Statistics Tableau Testing

Perks/benefits: Career development Health care Insurance

Region: North America
Country: United States

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