About this role
Job SummaryThis position is being filled under an Direct Hiring Authority (DHA), for Cyber Workforce Positions. This position is part of the Air Force Elements, U.S. Transportation Command, Transportation Command. The incumbent will be responsible for serving as a senior key analyst and recognized subject matter expert with analysis and oversight responsibilities in the areas of machine learning and artificial intelligence.
QualificationsYou may qualify at the GS 14 , if you fulfill the following qualifications: Applying advanced machine learning, artificial intelligence, and data science methodologies to develop statistical models and analytics using open-source programming languages (e.g., R, Python, Scala) and cloud-based technologies Coordinating complex analytics projects in agile development environments, leading technical teams, and providing expert guidance on predictive analysis and optimization techniques Delivering technical briefings to senior leadership and collaborating with stakeholders across government and industry to implement enterprise data architecture solutions One year of specialized experience equivalent to the GS-13 grade level in the Federal service as listed below: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (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. You will receive credit for all qualifying experience, including volunteer experience. In addition to meeting qualifications, your application package must reflect the applicable experience to meet the individual Occupational Requirements below: Operations Research Basic Requirements: Degree: in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. Computer Science Basic Requirements: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. Data Scientist 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.
Major DutiesAs a Operations Research Analyst/Computer Scientist/Data Scientist at the GS-1515/1550/1560-14 some of your typical work assignments may include: Serves as senior subject matter expert in machine learning, artificial intelligence, data science, operations research, and advanced analytics using open-source programming languages and cloud-based technologies. Develops and implements prototype analytics employing statistical methodologies, predictive analysis, and machine learning techniques for cloud or hybrid cloud environments. Coordinates joint service support analyses and represents command at conferences on advanced technologies shaping future distribution operations. Leads agile development teams using scrum frameworks and facilitates collaboration to transition analytic prototypes into operational environments. Provides team leadership by assigning work, coaching on analytical tools, and ensuring balanced workload distribution. Delivers technical reports and briefings to senior executives while providing programmatic support for enterprise data architecture functions. Maintains expertise in emerging Operations Research and Data Science techniques through professional development and collaboration with government and industry partners.