Data Scientist with Security Clearance, Oakleaf Technology Group, Columbia, MD
Oakleaf Technology Group -
Columbia, MD,
US
Data Scientist with Security Clearance
Date Posted: 2024-05-07
Job description
Build a plan for our next generation Platform and the Analytics for our Data Science/Data and Demystifying (DnD) Team. Execute on the plan to support our future services. This position requires strong software and systems engineering expertise from cradle to grave with limited, high-level direction, in the areas of: Some full stack development work with emphasis on back end aspects like application workflows, business logic, and data stores.
Experience with helping to make platform decisions (tools and technologies) which fit specific business needs.
Exposure to automation and orchestration tooling.
Willingness to treat s/w technology as a "tool in the toolbox" to solve problems.
Possessing an instinctive aptitude to leverage information and knowledge sharing networks and navigate conflict in a way that fosters constructive outcomes. The selected candidate will demonstrate the aptitude to learn and grow in the following areas.
Integrating national and tactical data architectures into enterprise data representations (or formats) that can produce outputs to support multiple system architectures. This includes systems and data architecture and integration, data modeling, and data mapping in direct support of enterprise technology leadership.
Maintaining awareness of commercial data standards and community data standardization activities.
Corporate architecture and tools to include the Event Warehouse, Content Warehouse.
Experience with helping to make platform decisions (tools and technologies) which fit specific business needs.
Exposure to automation and orchestration tooling.
Willingness to treat s/w technology as a "tool in the toolbox" to solve problems.
Possessing an instinctive aptitude to leverage information and knowledge sharing networks and navigate conflict in a way that fosters constructive outcomes. The selected candidate will demonstrate the aptitude to learn and grow in the following areas.
Integrating national and tactical data architectures into enterprise data representations (or formats) that can produce outputs to support multiple system architectures. This includes systems and data architecture and integration, data modeling, and data mapping in direct support of enterprise technology leadership.
Maintaining awareness of commercial data standards and community data standardization activities.
Corporate architecture and tools to include the Event Warehouse, Content Warehouse.