Interdisciplinary

Job Title

Job Description

Contributes to subject matter experts (SMEs) in efforts to identify and critically assess advanced and emerging concepts and technologies to identify ways the DoD cyberspace program community can more extract meaning and value from datasets.

Develop and implement quantitative and qualitative methods for characterizing large datasets in various states of organization, cleanliness, and structure.

Engage with peers to share information as to operational requirements and priorities, as well as ongoing data science investigations.

Achieve this collaboration on a peer-to-peer basis, as well as through membership in established inter-agency and intergovernmental working groups.

Uncover and explain actionable insights from data by combining scientific method, math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and storytelling.

Identify and prioritize data analytics capabilities that are critical to the achievement of JCWA operational capabilities.

Advise on data requirements to ensure ability to achieve interoperability and engage in joint operations with other DoD agencies, across the JCWA, and with foreign partners.

Provide continuing expert advisory support and oversight to ensure data analytics capability gaps and disconnects are resolved, and that data standards are defined and effectively and consistently implemented across the program community.

Identify the need, define standards, and lead implementation of best practices in data curation to support current and future needs of USCYBERCOM machine learning (ML) algorithms.

Collaborate with Artificial Intelligence/ML Scientist, investigate advanced and emerging concepts and technologies, make authoritative recommendations for selection and exploitation of technical means to achieve effective data curation activities.