Data Scientist with Security Clearance

Position Title : Data Scientist Location : Arlington, VA (Remote) Clearance Level : Secret Responsibilities will include, but are not limited to :

• Serve as a primary facilitator for preparation, execution and follow up for all Planning, Programming, and Budgeting Committee - Guard (PPBC-G) forums (General Officer / Strategic Level forums), to include Resourcing Council of Colonels (RCoC), Resource Integration Steering Committee (RISC). Coordinates across Army National Guard Bureau staffs to develop topics, products, and presentations for submission to the PPBC-G process.
• Support the design, development, and execution of all data analytic efforts led by the GS-13 Data Scientist as directed by the DAG-R Division Chief/Deputy Division Chief in support of the Chief Financial Officer's analytic agenda.
• Provide expertise on ARNG Roles, Missions, Authorities and Army strategic guidance and key planning efforts such as The Army Plan (TAP), Total Army Analysis (TAA), the Army Equipment Modernization Strategy (AEMS), and the Long-Range Investment Requirements Analysis (LIRA).
• Develop and enhance websites, applications, and secure access to databases based upon requirements for analytic efforts as approved by the COR. Customers include the CFO, ARNG G-8, DAG-R, ARNG Directorate Office of Primary Responsibility (OPR) for program portfolio's, and National-level Program Managers (NPMs). Qualifications Required qualifications
• Bachelor's Degree in related field of study or equivalent experience.
• Minimum of four years of experience, two within the DoD working with big-data systems and developing production-level data models .
• Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
• Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
• Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills.
• Prior knowledge of Power BI, Tableau, and Advana data science is preferred