Summary The Data Scientist develops and applies innovative analytical approaches to support data-driven policy and operational decisions. Data Scientists are technical experts that possess in-depth knowledge and experience in the domains of data engineering, computer programming, statistics, mathematical modeling, machine learning algorithms, and data visualization techniques. Responsibilities Performs multiple, varying and complex assignments under the minimal direction of a manager, project/program manager, team leader, or more experienced technical specialist. Acts as principal technical specialist or as a project manager or team leader for large work activities. Applies experience and comprehensive technical knowledge applicable to data engineering, computer programming, mathematical modeling and statistical theories/disciplines, as well as an understanding of new technologies and methodologies, to solve complex problems and develop improved technical processes or systems. Considers the objectives of the organization when developing, integrating, and implementing solutions to diverse, complex problems. The incumbent leads diverse and complex analytical studies by applying analytical methods to solve problems, identifying methods, processes, algorithms, tools, and systems to extract and interpret findings from varied structured and unstructured data sets related to the data science lifecycle, optimizes the use of data, and provides additional insight and evidence for decision-makers. The work of this position also involves the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. The Data Scientist defines, organizes, assigns and allocates resources to accomplish large work activities to achieve the organizations objectives. Typical duties include the following: • Collaborate with stakeholders to identify the business requirements and the expected outcome. • Identify and select relevant and credible data sources, and provide technical instructions to data analysts to collect, integrate, and mine data. • Create data architectures, including solving data problems with an emphasis on product development. • Write code in a statistical or computer programming language such as SQL, SAS, R or Python to aid in analysis. • Build ETL pipeline, which is a set of processes to extract data from one system, transform it and load it into various systems. • Provide guidance and leadership on methods, tools, and techniques. • Apply a variety of analytical approaches to solve mission focused policy, methodologies, and/or administrative problems in a fast-paced environment. • Conduct analysis in a programming or statistical software (e.g. R, Python); • Build statistical or simulation models. • Summarize and present results using data visualization tools (e.g. Tableau, Power BI, and R). • Communicate findings and provide recommendations to policymakers and non-technical audiences. Contacts are internal and external. The Data Scientist is the project manager or team leader for large work activities. The incumbent works to resolve various kinds of issues related to data, whether it's working with an IT developer on creating and collecting data, or working with individuals, teams and management on data requests/projects and then building solutions that derive additional data or data-related solutions needed. The team environment includes working with other Data Scientists, as well as the customers who have data-related challenges that the Data Scientists is working to resolve. 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. Provides guidance to lower-level staff on how to solve difficult technical issues. Resolves all but unique technical problems without the intervention of management or a more experienced technical specialist. Develops plans, techniques, and policies to address current or anticipated problems and issues. Works with management to solve problems. Other duties as assigned. Requirements Conditions of Employment We are not accepting applications from noncitizens. Qualifications 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. 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 Specialized Experience: To qualify for this position, you must demonstrate in your application that you possess at least one year of specialized experience at the FV-I, FG-13 level. 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 analyzing and interpreting data using programming and statistical software. - Experience creating and managing databases in a SQL environment and documenting data structure and architecture. - Experience developing Application Program Interfaces (APIs). Qualifications must be met by the closing date of this vacancy announcement. 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 person selected for this position may be required to file a financial disclosure statement within 30 days of entry on duty. FAA policy limits certain outside employment and financial investments in aviation-related companies. www.faa.gov/jobs/workinghere/financial-disclosure-requirements 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. 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. These positions are located in IR800 and IR500. However, this vacancy announcement may be used to fill future vacancies in any of the other AIR division offices. Only the following duty locations are available: Anchorage, AK - 31.96% Scottsdale, AZ – 22.02% Lakewood, CA – 35.84% Enfield, CT – 31.62% Denver, CO – 29.88% Washington, DC – 33.26% Orlando, FL – 16.82% Hapeville, GA - 23.45% Des Plaines, IL – 30.41% Wichita, KS – 16.82% Burlington, MA – 31.97% Belleville, MI – 28.82% Minneapolis, MN – 27.15% Kansas City, MO - 18.65% Greensboro, NC - 16.82% Saddle Brook, NJ – 37.24% Farmingdale, NY – 37.24% East Farmingdale, NY – 37.24% Jamaica, NY – 37.24% Westbury, NY – 37.24% North Olmsted, OH – 22.01% Vandalia, OH –21.14% Bethany, OK – 16.82% Oklahoma City, OK – 16.82% New Cumberland, PA –19.10% Fairview Township, PA –33.26% North Charleston, SC – 16.82% Fort Worth, TX - 26.91% San Antonio, TX – 18.49% Des Moines, WA –30.18% Incomplete Applications: Please follow all instructions carefully. Errors or omissions may affect your rating. Your application/resume MUST have your official title, grade, and series on your work history. Interviews: The Agency may choose to interview one, some, none, or all candidates from the selection certificate or any other valid recruitment/referral list submitted. Requirement for Security Clearance: Selection and placement are contingent upon waiver or completion of satisfactory security requirements. For Moderate Risk (Level 5), this position requires completion and favorable adjudication of a National Agency Check with Inquiry (NACI) background investigation prior to appointment, unless a waiver is obtained. This position is eligible but not in a bargaining unit. Links to Important Information: Locality Pay , COLA