For additional information on direct hire opportunities with the Air Force please click here. Once on the Air Force Civilian Careers website, click "LEARN MORE ABOUT DIRECT HIRE JOBS" and click on the LinkedIn icon located under "To learn more about current and future Direct Hire opportunities please follow us on LinkedIn" Information regarding opportunities, how to submit your resume and your contact information may be located on the Air Force Civilian Careers LinkedIn site.

Requirements

• U.S. Citizenship Required
• Telework may be authorized.
• Must be able to obtain and maintain a Top Secret security clearance and is required to handle and safeguard sensitive and/or classified information in accordance with regulations to reduce potential compromise.
• Locations are not negotiable. The actual duty locations available may be located on the Air Force Civilian Service website.
• This is a drug testing designated position. The incumbent is subject to pre-employment drug testing as a condition of employment, and participation in random drug testing.
• Employee must meet Defense Acquisition Workforce Improvement Act (DAWIA) requirements, which includes achieving Engineering and Technical Management “Practitioner” certification category within required timeframe after appointment.
• In accordance with the Ethics in Government Act, 1978, employee may be required to file an OGE Form 450, Confidential Financial Disclosure Report, upon appointment and will be required to file annually.
• For additional information on direct hire opportunities with the Air Force please go to https://afciviliancareers.com/find-a-job/
• This position has been designated as a Non-Critical Acquisition Position and is covered by the Acquisition Professional Development Program (APDP).
• Possess a B.S. in Computer Science, Information Science, Mathematics, Physics, Operations Research, statistics, engineering, data science, business analytics or a related discipline with at least 3 years of experience.
• Have a knowledge of modern large-scale data systems and architectures.
• Are self-motivated with strong intellectual curiosity, especially around defining impact. Maintain excellent social skills, outstanding written and oral communications skills, and good organizational skills.
• Strong analytic skills related to working with unstructured datasets. Strong project management and organizational skills. Experience with Agile methods.
• Experience leading teams and projects using agile methods and collaboration tools such as GitHub, Jira, and Confluence. Have used data visualization tools and/or libraries such as Tableau, d3.js, plotly.js, Angular.js, PowerBi, or other tools.
• Proven experience organizing data into flexible, scalable, and reusable structures and performing comprehensive data analysis. Have experience with statistics, machine learning algorithms, or general algorithm development.
• Experience with deep learning, reinforcement learning, natural language processing.
• Have experience with other prescriptive analytic methodologies, including decision analysis, Monte Carlo simulation, and game theory.
• Possess solid software development and programming skills (e.g. Python, Java, C++, R, etc.)
• Have knowledge of at least one statistical analysis package (R, Stata, SAS, JMP, Python, MATLAB, CO$TAT, @RISK, etc.)

Qualifications

For additional information on direct hire opportunities with the Air Force please click here. To qualify as a Data Scientist, employee must meet the education and specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for the 1560, Data Scientist occupation: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/. Basic Requirements: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Knowledge of professional data science concepts, principles, practices, standards, methods, techniques, materials, and equipment to effectively apply advanced data analytics theories, principles, and concepts to weapon system evaluation, execution, and advisory services. 2. Knowledge of data analytics sufficient to apply experimental theories and/or new applications to issues and provide technical advice and direction in support of weapon system performance and capability gap analysis. 3. Knowledge of the assigned weapon system and support equipment sufficient to understand the interrelationships of various subsystems and how the available data is representing the actual health and key performance capability gaps of the system. 4. Knowledge of the principles of planning and program management; standard acquisition regulations, practices, and procedures; other engineering and scientific disciplines; and software specific to performing data analytics. 5. Ability to devise and evaluate criteria, parameters, characteristics, and interrelationships for data analysis and to evaluate overall weapon system health and recommend the most effective allocation of resources.

Education

To qualify as a Data Scientist, employee must meet the education and specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for the 1560, Data Scientist occupation: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/.

Contacts

• Address EHA DHA 550 C Street West JBSA Randolph AFB, TX 78150 US
• Name: Joyce Peters
• Email: [email protected]