This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer.

Duties

You will lead development of systems and processes for routine data collection and analysis of region activities. You will recommend program goals, objectives, and performance metrics based on comprehensive data analysis. You will analyze a variety of data sources to provide guidance to streamline processes. You will use tools and techniques to construct data pipelines to handle data at scale. You will develop analytical plans to help shape the organization’s data infrastructure, inclusive of data warehousing, reporting, and analytics platforms.

Requirements

• Must be a US Citizen.
• Must be determined suitable for federal employment.
• Must participate in the direct deposit pay program.
• New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov
• Within the Department of Defense (DoD), the appointment of retired military members within 180 days immediately following retirement date to a civilian position is subject to the provisions of 5 United States Code 3326.
• Males born after 12-31-59 must be registered for Selective Service.
• You will be required to obtain and maintain an interim and/or final security clearance prior to entrance on duty. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal.
• This position may require travel from normal duty station to CONUS and OCONUS and may include remote or isolated sites. You must be able to travel on military and commercial aircraft for extended periods of time.
• This is a bargaining unit position.
• You will be required to complete training, obtain, and maintain a government credit card for travel and travel-related purchases.
• You will be required to complete training, obtain, and maintain a government credit card to make official government purchases for goods and services.

Qualifications

Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: Applying a broad range of data analyses, mathematics, statistical analysis, modeling/simulation and/or other scientific concepts, principles, and procedures to perform extensive analysis of large volumes of data. Using open source statistical packages and commercial analytic tools (such as R, Python, Julia, SAS, Tableau, License, Excel) to assess an organization's data architecture. Applying information systems security principles and concepts to ensure data analytics efforts are in line with information security best practices. Advising stakeholders on issues pertaining to the development, acquisition, implementation and operational support for an organization's workforce. Additional qualification information can be found from the following Office of Personnel Management website: Data Science Series 1560 (opm.gov) and General Schedule Qualification Standards (opm.gov) Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.

Education

Applicants must meet the following basic education requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual:

Successful completion of a bachelor's degree or higher in mathematics, statistics, computer science, data science or a field directly related to the position; or a combination of work experience and education that included at least 30 semester hours in in mathematics, statistics, computer science, data science or a field directly related to the position.

Contacts

• Address HDQTRS NDW 2691 Mitscher Road SW Washington, DC 20373 US
• Name: Nebiyu Worku
• Phone: 202-433-0289
• Email: [email protected]