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Chief Scientific and Technical Advisor for Data Analytics for Safety and Reliability

Employer
US Department of Transportation
Location
Seattle, Washington
Closing date
Sep 22, 2021

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Position Type
Executive / President
Hours
Full Time
Organization Type
Business
  • Duties

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Duties

Summary

The Policy and Innovation Division supports aerospace innovation by creating novel means of compliance, develops and maintains Aircraft Certification Service regulations, manages the Aviation Safety (AVS) Senior Technical Experts Program (STEP) and overall fleet safety, as well as educational outreach. The Chief Scientific and Technical Advisor for Data Analytics for Safety and Reliability is one of a cadre of nationally and internationally recognized technical experts comprising the AVS STEP.

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Responsibilities

The Chief Scientific and Technical Advisor (CSTA) for Data Analytics for Safety and Reliability provides an FAA-wide, mission-critical, leadership role in developing and promoting strategies to maximize industry use of available data, including analyzing data through traditional and novel techniques to predict trends, mitigate risk, and bolster aerospace safety. The incumbent works to retain and broaden U.S. leadership related to the management and analysis of aerospace data, including manufacturing, flight, maintenance, accident, and incident data. Analytical techniques applied include artificial intelligence, data-driven machine learning, and big-data analytics. The incumbent evaluates the readiness of emerging technologies, shapes agency policies, and promotes the adoption of safety enhancing operational requirements and practices into the FAA's regulatory and certification programs. The CSTA also provides instruction and advice to the FAA, other departments and agencies, the aviation industry, professional societies, associations, academia, and international organizations.

Specific responsibilities include:
  • Provides expertise in areas such as advanced computational modeling (e.g., the use of statistical models, algorithms, and data-driven machine learning), advanced diagnostics of flight and maintenance data, and vehicle health monitoring (e.g., expertise in airplane operational failure detection and reporting concepts used in aircraft) and the integration of multiple, independent sensor networks and data fusion.
  • Serves as a senior advisor in the Aviation Safety (AVS) Line of Business, providing scientific and engineering expertise and assistance to the relevant stakeholders working to enhance aviation safety, efficiency, and innovation. The incumbent provides expert advice and assistance to AVS managers and leaders, type certification boards, airworthiness directive boards, maintenance review boards, flight operation evaluation boards, special certification review teams, accident investigation teams, and special condition standards review activities.
  • Plans, directs, promotes, and coordinates research and the publication of scientific papers intended to evaluate new technologies, address service difficulties, and promote FAA adoption of the most safety enhancing policies and practices in the realm of data analytics for safety and reliability.
  • Prepares and/or provides technical education and training to the FAA, industry, associations, foreign airworthiness certification authorities, and international organizations through certification projects, training courses, seminars, and workshops.
  • Represents the FAA in dealings with other civil aviation authorities, national and international forums, industry committees, and task groups on work to mitigate aerospace safety risk through the analysis of aerospace data. Coordinates regulatory initiatives with foreign airworthiness authorities to provide harmonized requirements and consensus standards in order to expedite and reduce the cost of international certification to the aerospace industry.
  • Supports industry and government in the investigation of accidents or incidents through the analysis of available data to identify possible trends, outcomes, and issues. Collaborates with the National Transportation Safety Board and foreign entities by applying expertise in determining causal factors; identifying shortcomings in policy, technology, or practices; and recommending remedial actions to prevent or reduce the probability of such accidents or incidents in the future.

Travel Required

50% or less - The job may require up to 50% travel.

Supervisory status

No

Promotion Potential

NA
  • Job family (Series)

1530 Statistics
  • Requirements

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Requirements

Conditions of Employment
  • US Citizenship is required.
  • Selective Service Registration is required for males born after 12/31/1959.
  • Designated or Random Drug Testing required.
  • This position has a positive education requirement. Transcript(s) required.

Qualifications

As a basic requirement for entry into the FAA Executive System, you must provide evidence of progressively responsible leadership experience that is indicative of senior executive level capability; and that is directly related to the skills and abilities outlined under the Technical Requirements listed below.

In addition to the minimum qualifications, the following have been determined to be selective factors for this position. This means possession of this criteria is part of the minimum qualifications and is essential to perform the duties and responsibilities of this position. Applicants who do not possess this criteria are ineligible for further consideration.

TECHNICAL REQUIREMENT: Demonstrated leadership and expertise in data analytics, advanced computational modeling (e.g., the use of statistical models, algorithms, and data-driven machine learning), advanced diagnostics of vehicle transport and maintenance data, vehicle health monitoring, and applying analytical techniques to mine and filter data for predictive analysis.

TECHNICAL REQUIREMENT: Demonstrated leadership experience in the development and application of requirements and/or standards related to advanced technology products.

TECHNICAL REQUIREMENT: Demonstrated ability to serve as an effective spokesperson and represent a high profile organization with global regulatory authorities, national and international industry bodies, manufacturers, research organizations, academia, and the public on work to mitigate safety risk through data analytics and predictive analysis.

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/admins/finaid/accred/index.html.

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.

The specific education requirements for this position are outlined at the following website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/statistics-series-1530/. An excerpt of the requirement is below:

A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

or

B. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

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