Principal Data Scientist
About The Position
BAE Systems is looking for a dynamic individual, self-motivated, with data and computing modernization experience, to join our team as a Principal Data Scientist providing support to the United States Army Europe-Africa's (USAREUR) data and computing modernization efforts required to configure and integrate systems that support mission command decision‐making, enhance interoperability and C2 data sharing between US, NATO and coalition partners, and support the command’s concept for distributed command post operations. Specific efforts include support to analyze, design, and deploy, advanced technology software modeling and simulation solutions to add capability and improve performance to the microelectronics-based Command, Control, Communications, Computers and Information Management (C4IM), intelligence collection and analysis, Command and Control (C2) logistical systems. The individual will provide technical, operational, and advisory services to enable the development of this advanced secure modeling and simulation capabilities for C4IM, intelligence collection and analysis, C2 and logistical responsibilities. The Principal Data Scientist will research and enable processing of structured and unstructured data to derive patterns, trends, and correlations and to enable entity extraction, disambiguation, common operating picture solutions, visualization, and other data-related support. Implement improvements to data entity extraction, entity resolution, pattern extraction, link analysis, human and social-network links/connections, cloud online analytical processing, data frameworks, visualization support, and related algorithms. Create, modify, and maintain software capabilities that extract insight from data, to include information, software applications, machine learning models, automation, and other software components. This position will be hybrid. Work locations will include Sterling, VA; Rockville, MD; Mount Laurel, NJ; Orlando, FL; Huntsville, AL. Other major BAE Systems work locations may also be considered.
Requirements
- Minimum education and years of service required: 10+ Years with HS 8+ Years with AA 6+ Years with BS 4+ Years with MS 2+ Years with PhD
- Bachelor's Degree or minimum of 10 years of experience
- May substitute equivalent experience, training and/or certifications for the degree. Relevant experience is job-related work that provides the necessary knowledge, skill, and abilities to perform in the role
- Working knowledge and ability to use Microsoft Office
Nice To Haves
- Knowledge of DoD Acquisition Regulations
- Experience to include classroom work with modeling and simulation
- Previous experience supporting the United States Army Europe-Africa’s (USAREUR-AF) data and computing modernization efforts
Responsibilities
- Research and enable processing of structured and unstructured data to derive patterns, trends, and correlations
- Enable entity extraction, disambiguation, common operating picture solutions, visualization, and other data-related support
- Implement improvements to data entity extraction, entity resolution, pattern extraction, link analysis, human and social-network links/connections, cloud online analytical processing, data frameworks, visualization support, and related algorithms
- Create, modify, and maintain software capabilities that extract insight from data, to include information, software applications, machine learning models, automation, and other software components
Benefits
- health, dental, and vision insurance
- health savings accounts
- a 401(k) savings plan
- disability coverage
- life and accident insurance
- employee assistance program
- a legal plan
- discounts on things like home, auto, and pet insurance
- paid time off
- paid holidays
- paid parental, military, bereavement, and any applicable federal and state sick leave
- Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards
- Other incentives may be available based on position level and/or job specifics
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
