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Summary Serves as a Data Scientist (Information Analyst) within the Office of Accident Investigation and Prevention. Functions as a contributing member of FAA's Safety Community of Interest Core Team, researching, analyzing, modeling and interpreting data, and developing data visualizations for aviation safety projects and programs across the Federal Aviation Administration. Responsibilities Serves as a Data Scientist, responsible for developing analytical methodologies for collecting and compiling safety data into visual tools or reports. Develops innovative visualizations and safety data models that enhance safety decision-making processes. Applies data modeling expertise and data management strategies to enterprise-wide projects in support of FAA’s Safety Community of Interest, including cross-organizational collaboration regarding the integration of emerging entrants into the NAS. Performs multiple, varying, and complex assignments in support of FAA’s Safety Community of Interest under the minimal direction of a manager. Through the use of sophisticated analytical data models, provides and consults with management to improve organizational effectiveness, efficiency and/or meet strategic objectives. Develops pre-decisional reports and presentations for senior executives, leadership and managers at all levels; reveals data on organizational performance, which includes key performance indicators/metrics that target organizational improvement and represents data to reach meaningful conclusions to meet FAA Safety Community of Interest objectives and DOT/FAA mission goals. Contacts are internal and external. Often represents FAA as a senior technical point of contact on projects, programs and other work activities. Communicates results to all levels internally (within an LOB/SO or across LOB/SOs) and externally. Utilizes simple and complex data mining, data cleansing and statistical analysis in the development of solutions to enhance and support safety decision-making processes. Applies experience and comprehensive technical knowledge of analytical and statistical methods, models, and techniques to support analysis and strategic decision making efforts in support of FAA’s Safety Community of Interest. Assignments frequently require knowledge and experience working across functional and/or organizational lines. Typical assignments may include complex system design and integration; extensive research and analyses; and direct responsibility for project/program management. Broad policies and objectives provide general guidance for addressing issues, but allow considerable discretion to develop new and innovative approaches. Draws on experience to solve unusual problems and may create new solutions and policy interpretations as the situation requires. Devises methodologies to tackle complex safety questions. Transforms, aggregates, enhances, and fuses disparate data from multiple sources to produce relevant and meaningful information. Develops algorithms as required to process complex data. Develops metrics, identifies trends and performs analyses to inform safety questions and management decision-making. Conveys information through clear visualizations. Familiarity with various tools to include Tableau, Confluence, and Python. As a key contributor in FAA's Safety Community of Interest, identifies relevant safety data sources and information needs required for safety decision-making processes. Assesses existing data sources and actively documents and elevates to Safety Community of Interest stakeholders existing gaps and associated recommendations for enhancing data collection and architecture. Develops prototypes to demonstrate proposed improvements. Collaborates with cross-organizational subject matter experts to implement recommendations. Work is reviewed rarely, typically though status reports and at project completion, to ensure technical compliance and alignment with the requirements of the project or other work activity. Requirements Conditions of Employment We are not accepting applications from noncitizens. 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: A Bachelor's or higher degree in 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 To qualify for this position you must demonstrate in your application that you possess at least one year of specialized experience equivalent to FV-I / FG/GS-13. 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 includes: Experience planning, designing, and developing the application of data and statistical models, methodologies and visualizations. Experience and subject matter expertise in aviation safety business processes. Experience utilizing business intelligence tools such Tableau Subject matter expertise in aviation safety business processes. Applicants should include examples of specialized experience in their work history. Qualifications must be met by the closing date of this vacancy announcement. If the Agency decides to interview any qualified employee on the selection list, then all on the list who are qualified 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. 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. A selection may be made from this announcement or ACT-AVS-24-AVP210-92279 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. Additional Information We may use this vacancy to fill other similar vacant positions. Position may be subject to a background investigation. A one-year probationary period may be required. The U.S. Department of Transportation strives to ensure that equity, transparency, accountability, collaboration, and communication permeate all that we do for the betterment of the Department, the traveling public, and our nation. As such, DOT values a highly diverse workforce of persons who promote a culture of belonging by respecting the personal dignity and worth of each individual and fostering a positive environment where all feel safe and welcome. If these commitments coincide with your personal ideals and professional aspirations, please consider joining the DOT family. Leave Enhancement: FAA organizations may offer enhanced annual leave accrual to newly appointed or reappointed employees. In order to receive consideration for such a benefit, applicants' prior non-Federal service or active duty uniformed service must directly relate to the duties of the position to which appointed. Granting enhanced annual leave is at the sole discretion of the hiring organization, and granting such benefit is not an entitlement nor guaranteed to any newly hired employee. Applications will be accepted from any U.S. citizen. On-the-Spot will be used to fill this position. The 'Rule of Three', Veterans Preference and traditional rating and ranking of applicants does not apply to this vacancy. As a part of the Federal-Wide Hiring Reform Initiative (streamlining the hiring process), the FAA is committed to eliminating the use of the Knowledge, Skills and Ability (KSA) narratives from the initial application in the hiring process for all announcements. Therefore, as an applicant for this announcement, you are NOT required to provide a narrative response in the text box listed below each KSA. In lieu of providing a KSA narrative response in the text box listed below each KSA, in your work history, please include information that provides specific examples of how you meet the response level or answer you chose for each KSA. Your work history examples should be specific and clearly reflect the highest level of ability. Your KSA answers will be evaluated further to validate whether the level that you selected is appropriate based on the work history and experience you provided. Your answers may be adjusted by a Human Resource Specialist as appropriate. Eligible applicants meeting the minimum qualification requirements may be further evaluated on the KSAs listed in the announcement. Based on this evaluation, applicants will be placed in one of the following categories: score order, category grouping, or alphabetical order and referred to the selecting official for consideration. Links to Important Information: Locality Pay, COLA