This position resides in the Operations Performance Assessment Branch, ANG-B72. The branch is responsible for planning, designing, developing, and applying data and statistical models/methodologies to support the office leadership on various aviation engagement challenges and the direction for future aviation research, among others.

Duties

Performs a mixture of routine and multiple and varying assignments under the limited direction of a manager, project/program manager, team leader, or more experienced technical specialist. Acts as an individual contributor and/or member of a team.

Requirements

• US Citizenship is required.
• Selective Service Registration is required for males born after 12/31/1959.
• Must submit an SF50 (See Required Documents)
• This position has a positive education requirement. Transcript(s) required.
• This is not a remote position. You will be required to report to the office.

Qualifications

To view the complete OPM qualification standard for the Group Coverage Qualification Standard for Data Science Series, 1560, please refer to:Data Science Series 1560 (opm.gov)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.orCombination 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.FV-1560-HTo qualify for this position the FV-H, in addition to meeting the basic requirements you must demonstrate in your application that you possess at least one year of specialized experience equivalent to FV-G, FG/GS 5/7/9. Specialized experience is experience that has equipped you with the particular knowledge, skills, and abilities to perform successfully the duties of the position.Specialized experience is: Experience with application of the fundamentals of machine learning algorithms, including model selection and hyperparameter tuning. Experience with TensorFlow and/or PyTorch to design Deep Neural Networks, including Convolutional Neural Networks (CNNs) and/or Recurrent Neural Networks (RNNs). Experience with Scikit-Learn to include dimensionality reduction, feature extraction, feature selection, and model selection for use in classification, regression, and clustering projects. Experience in developing software tools, analytical models, and data structures to conduct quantitative performance analysis using large data sets.OR3 years of progressively higher-level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. The education must be directly related as shown above.FV-1560-ITo qualify for this position the FV-I, in addition to meeting the basic requirements, you must demonstrate in your application that you possess at least one year of specialized experience equivalent to FV-H, FG/GS 11/12. Specialized experience is experience that has equipped you with the particular knowledge, skills, and abilities to perform successfully the duties of the position.Specialized experience is: Experience with application of the fundamentals of machine learning algorithms, including model selection and hyperparameter tuning. Experience with TensorFlow and/or PyTorch to design Deep Neural Networks, including Convolutional Neural Networks (CNNs) and/or Recurrent Neural Networks (RNNs). Experience with Scikit-Learn to include dimensionality reduction, feature extraction, feature selection, and model selection for use in classification, regression, and clustering projects. Experience in developing software tools, analytical models, and data structures to conduct quantitative performance analysis using large data sets. Experience in mathematical modeling and statistical analyses, including processing and manipulation of large data sets. Experience applying project management principles on a data science project.Qualifications must be met by the closing date of this vacancy announcement.Applicants should provide examples of specialized experience in their work history. If the selecting official decides to interview any employee on the selection list for a vacancy, then all who remain under consideration for the position at that point in the process must be interviewed. If the selection list is shortened to a best qualified list through a comparative process, then the best qualified list shall be considered to be the selection list.

Education

This position has a positive education requirement: Applicants must submit a copy of their college or university transcripts(s) and certificates by the closing date of announcement to verify qualifications. If selected, an official transcript will be required prior to appointment. You may upload these documents with your application in USAJOBS or fax it to fax number provided in the announcement (please include announcement number on each page).

Failure to do so will result in loss of consideration.

Schools must be accredited by an accrediting institution recognized by the U.S. Department of Education. Accreditation may be verified at the following website: www.ed.gov/accreditation.

Foreign education must be evaluated by a private professional organization specializing in interpretation of foreign education credentials or an accredited U.S. educational institution in terms of equivalence to a degree acquired at an American college or university. A copy of the evaluation results must be included, otherwise your foreign education will not be considered.

Contacts

• Address Federal Aviation Administration ACT Regional HR Services Branch Atlantic City International Airport, Bldg. 300 AHF-N710 Atlantic City, NJ 08405 US
• Name: Mary Ann Quinn
• Phone: 1 (609) 485-6621
• Email: [email protected]