Data Scientist - DXSA

TULK is a small boutique consulting firm specializing in technology and management consulting to the US Federal Government. We help Defense and National Security clients solve their toughest problems by guiding them to acquire, design, manage and develop new and improved technology systems and business practices to advance their missions. Our people enjoy a variety of tailored benefit options to meet their individual needs to include 100% employer paid health care, generous cash bonuses, flexible work schedules, access to technology, tuition reimbursement, 401k (coming in 2023) and much more.

We seek applicants who demonstrate a broad range of competency as we don’t just place “butts in seats” – we look at your overall skillset and your career interests and then line you up with an initial assignment that best fits you, while continuously evaluating opportunities to further your career.

If the position below is of interest to you, we look forward to reviewing your application.

Overall Assignment Description of the Data Scientist

As a Data Scientist you will employ a multi-discipline approach to provide data science support to the Office of Strategic Operations (OSO). Your work will enable OSO to lead planning, programming and operational activities required to support the data-driven performance analysis of NGA's enterprise data assets. You will assist the enterprise to ensure data is useful, accurate, accessible, and coordinated amongst other data sources.

Duties of the Data Scientist include:

• Provide support enabling OSO to lead planning, programming and operational activities required to implement the Corporate Analysis and Visualization Environment (CAVE)
• Support the governing and maturing the NGA’s corporate data, to ensure data is accurate, accessible, and coordinated amongst other data sources. Provide architecture/system engineering support for the planning, design, implementation and integration of architectures/systems and the integration of capabilities across existing and emerging corporate NGA architectures and future systems.
• Support OSO by enabling the adoption of the future GEOINT strategy by communicating concepts, providing guidance, and supporting the operational implementation of CAVE requirements.
• Support OSO by enabling seamless enterprise business requirements definition that will develop, document, and implement the necessary business solutions to achieve the CAVE vision.
• Support OSO by providing the capability to capture corporate data from multiple systems and warehouse the data to allow effective joins, quantification, visualization, and reporting. Enable the forecasting of behavior, performance, and analyze trends.
• Assists expert engineers and the Government in OSO data requirements or analysis efforts, projects, and other activities.
• Support OSO by providing the capability to capture enterprise data assets from multiple systemsand build robust solutions backed by data analytics, dynamic visualizations. and cross-directorate expertise and data.
• Enable the forecasting of behavior, performance, and analyze trends.
• Manage data analysis project lifecycle, from the brainstorming phase to final production and product delivery.
• Develop and apply quantitative and qualitative analytic methods to identify, collect, and analyze large datasets for specified purposes.

Required Skills and Experience of the Data Scientist

• US Citizenship
• US Government issued TS/SCI Security Clearance
• Bachelor's degree or higher in systems engineering or in related technical or scientific fields such as data engineering, mathematics, statistics, probability operations research, engineering management, computer science, information science, or related STEM degree program; or Mid-level work experience as a Data Scientist
• Demonstrated experience in at least three of the following: Enterprise Information Architecture, Data Science, Data analytics, Data modeling, Data Engineering creation and guidance, Data management, quality and governance best practices, Data warehousing and curation, SQL, Security and risk management, business analytics, or Cloud data services

Desired Skills and Experience of the Data Scientist

• Demonstrated experience with structured and unstructured data wrangling, information science
• Demonstrated experience with information engineering, modeling and simulation, and/or business analytics
• Experience engineering solutions using structured and unstructured Big Data