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Data Scientist Security Clearance

Job in Dayton, Montgomery County, Ohio, 45401, USA
Listing for: HII Mission Technologies
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 99336 USD Yearly USD 99336.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist 3 - 25605 with Security Clearance
Requisition Number: 25605 Required Travel: 0 - 10%

Employment Type:

Full Time/Salaried/Exempt Anticipated Salary Range: $99,336.00 - $ Security Clearance:
Secret Level of

Experience:

Mid This opportunity resides with Warfare Systems (WS), a business group within HII's Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5

ISR systems. HII works within our nation's intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe.

Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5

ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies,  for a short video:  

Job Description HII-Mission Technologies is currently seeking a skilled Data Scientist/Engineer to design, develop, and implement a data base architecture, tools, and techniques for management and use of extremely large data sets for use by data analyst for our DoD customer's organization. This position will be performed at the DoD customer site at Wright-Patterson Air Force Base. #LI-HB1 Essential

Job Responsibilities
* Investigate, determine, and implement suitable open-source tools for storage, managing, and use of extremely large data sets.
* Investigate, determine, and implement tools and methodologies for extracting key data points for analysis by data analyst.
* Conducts data exploration, analysis, and feature extraction techniques to incorporate into DoD customer's organization data pipelines and workflows.
* Be part of a team responsible for creating, maintaining, and augmenting an on-premises compute environment
* Translating requirements into capabilities for technical teams
* Present status reports to key internal stakeholders
* Evaluate new tools, technologies, and processes to improve on-premises environment
* Gain familiarity of customer mission to identify and/or develop data management and workflow solutions.
* Proposes solutions and strategies to unique challenges throughout the DoD customer's organization.
* Linux system configuration and capacity planning for large scale data analytics on-premises and cloud.
* Additional duties as assigned or required.

Minimum Qualifications
* 5 years relevant experience with Bachelor in related field; 3 years relevant experience with Masters in related field.
* Experience with defining requirements for using and maintaining open-source data analytics, data workflow, and database tools.
* Develop, implement, and maintain data analytic protocols, standards, and documentation.
* Design data models based on requirements/needs for complex analysis of data analyst
* Define requirements for vendors to implement into their proposed solutions to meet DoD customer's organization needs and use cases.
* Experience working with multiple types of datasets and database technologies
* Experience building data pipelines from end to end
* Experience with multiple industry standard cloud and on-premise database technologies
* Experience with data exploration, analysis, and visualization tools such as Python and Matlab
* Experience and familiarity with Linux operating environment
* Experience with open-source containerization technologies and tools and how to utilize those technologies as appropriately for database technologies and analytics
* Define internal process improvements to…
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