Leverages technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights that can provide a competitive advantage or address a pressing business problem. Uses expertise in computer science, software development, and the latest technologies to analyze and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations. Leverages expert knowledge of mathematical and statistical concepts, computer science, or domain expertise to bridge the gap between technologists and mathematicians, ensuring software solutions meet analytic requirements. Must be able to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks.
Applies data science concepts to identify patterns and relationships in large data sets, deriving correlations and casual analysis between identified operational, engineering, and scientific factors. Conducts complex mathematical, statistical, engineering modeling, algorithmic, or other data-driven analysis to solve internet based information operations problems to include social network analysis, structural equation modeling (SEM), natural language processing and topic modeling. Uses a combination of data science and software development expertise to create advanced software-based data analysis tools to meet the needs of specific in-house operations, research projects and external partners. Develops predictive models using artificial intelligence and machine learning techniques. Analyzes new data sources for availability and quality, and integrates them with internal sources to support research and analytics. Plans and conducts data-driven technology research and development projects to identify solutions for specific critical problems when technology or previously applied techniques cannot provide satisfactory solutions.
Requires a Master's Degree in Computer Sciences, Applied Math or Science Statistics, Science, Technology, Mathematics, Analytics or related fields. Requires knowledge of relevant software tools such as C++, SPSS, Java, Python, SQL, HTML, and XML. Requires over 10 years of experience leveraging a wide variety of data science capabilities and languages; Doctorate degree may substitute for a portion of required experience. Secret clearance required.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.