Job Details
Job Location: Arlington, VA
Salary Range: Undisclosed
Description
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), including Resourcing Council of Colonels (RCoC) and Resource Integration Steering Committee (RISC). Coordinate 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 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, 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 database access based on 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 portfolios, and National-level Program Managers (NPMs).
Qualifications
Required qualifications:
- Bachelor’s Degree in a related field of study or equivalent experience.
- Minimum of four years of experience, including at least two within the DoD working with big-data systems and developing production-level data models.
- Skills and expertise in machine learning tools for feature selection, creating, and optimizing classifiers.
- Strong collegiate-level writing skills, familiarity with U.S. Army organization and regulations, and excellent organization and communication skills.
- Practical experience with Structured Query Language (SQL), Microsoft Excel, R or Python for statistical programming, Data Visualization, and Presentation skills.
- Prior knowledge of Power BI, Tableau, and Advana data science is preferred.