Data Scientist

Federal Aviation Administration; Washington (District of Columbia); On-site; USD 85,000 - 125,000; Full time

Job summary

The Federal Aviation Administration seeks a data analytics specialist within the Air Traffic Organization, Safety Service Unit, Policy & Performance Directorate (AJI-3). The role focuses on collecting safety data, tracking performance, and analyzing risk for emerging trends to support the safe integration of new entrants into the NAS.

Applicants must have specialized experience at the FG/GS-13 level and proven ability with regression, time series analysis, ML techniques, and Python or R to

Qualifications

• Specialized experience at FG/GS-13 level related to the position.
• Experience in regression analysis and time series modeling.
• Experience with supervised and unsupervised ML algorithms and model evaluation.

Responsibilities

• Collect safety data and monitor safety performance for trends.
• Analyze risk and assess emerging entrants for safe NAS integration.

Skills

Statistical modeling

Machine learning

R/Python

Tools

R

Python

Job description

This position is located in the Air Traffic Organization, Safety Service Unit, Policy & Performance Directorate (AJI-3). This Directorate collects safety data, tracks and monitors safety performance, analyzes risk for emerging trends, and evaluates emerging entrants, such as commercial space operations and Unmanned Aircraft Systems (UAS), for safe integration into the NAS.

Candidates must have one year (52 weeks) of SPECIALIZED EXPERIENCE equivalent to at least the next lower grade level (FV-I or FG/GS- 13) that is typically related to the line of work of the position to be filled and which has equipped the applicant with the particular knowledge, skills, and abilities to perform the duties of the position successfully. To be creditable, specialized experience must have been at least equivalent to the next lower level in the normal line of progression for the occupation in the organization.

SPECIALIZED EXPERIENCE is defined as:

• Experience in statistical modeling techniques such as regression analysis and time series modeling.
• Experience with supervised and unsupervised machine learning (ML) algorithms, ML model development, and evaluation.
• Experience using R or Python programming languages to evaluates model performance and selection.

You should include relevant examples of the specialized experience in your work history. Errors or omissions may impact your rating or may result in you not being considered. Answer all questions to the best of your ability. DO NOT ASSUME THAT BECAUSE YOU HOLD, OR HAVE HELD THIS POSITION, YOU WILL AUTOMATICALLY BE FOUND ELIGIBLE. You may be asked to provide evidence or documentation that you have this type of experience later in the selection process. Your responses are subject to verification through job interviews, or any other information obtained during the application process. Any exaggeration of your experience or any attempt to conceal information can result in disqualification. Applicants who fail to demonstrate possession of any of the above criteria AND who do not provide the required documentation will receive no further consideration for this position. Applicants may be asked to verify information on your application for employment with the FAA. All qualification requirements must be met by the closing date of this vacancy announcement. Eligible applicants meeting the minimum qualification requirements and/or selective placement factor(s) (SPF) may be further evaluated on the Knowledge, Skills and Abilities (KSA) and/or Quality Ranking Factor (QRF) listed in the announcement. Based on this evaluation, applicants will be placed in one of the following categories:

• score order
• category grouping
• alphabetical

and referred to the selecting official for selection consideration.