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Data Science Analyst

MUST BE A US CITIZENT TO APPLY.

·       Design data modeling processes, develop algorithms, and perform statistical modeling for large data sets to perform custom analysis of systems, networks, and nodes to identify actionable output.
·       The analyst will operate independently and as part of a multi-disciplinary team and collaborates with collectors and customers to create high-valued targeting products. Periodically the analyst is expected to lead a multi-disciplinary analysis team, performing the full range of project management responsibilities. The analyst will develop plans of action to include: milestone scheduling and required coordination with other organizations and activities; options for further study and experimentation; concepts development, solutions assessment, rapid evaluation of alternatives, experimentation, and coordinating support from other groups within the organization; plans for operational experimentation and analysis; and manpower and funding recommendations.
·       Prepare, produce and deliver timely, relevant, and technically accurate targeting products including the respective methodologies, assumptions, conclusions, and recommendations to the customer. Prepare and deliver comprehensive, formal and informal briefings to customers and command senior leadership. Present and defend methodologies and analytical results within and outside of the command. Document any new or improved development, concepts, techniques, etc. Provide expertise to other analysts, scientists, engineers, managers, contractors, and other collaborative partners.
·       Explore, develop, evaluate and/or operationalize new technologies and capabilities to improve analytical quality, technical content, presentation and delivery of targeting products. Develop innovative and useful approaches for improving or expanding methodologies, models, products and services, including technically advancing the rigor of products using advanced analytical methods and structured problem-solving techniques. Improve business processes and reduce product cycle times, without sacrificing technical rigor or quality. Identify and apply best practices from government, industry or academia to strengthen JWAC’s analytical position. Improve integrated security processes and practices to facilitate a secure work environment.
·       Build effective collaborative networks and alliances with key peers and stakeholders across the Operations and Intelligence Communities. Actively engage these peers and stakeholders, involve them in key tasks and decisions, and effectively leverage the social networks and alliances to achieve value-added results. Represent the command externally to foster collaboration and promote understanding of the command, its mission and respective capabilities. Collaborate across discipline and organizational boundaries to achieve and/or enhance organization efficiencies.