The Department of Transportation's Volpe National Transportation Systems Center is seeking Data Scientists to support the development of data-driven programs to speed the adoption of innovative transportation technologies, policies, and practices. In particular, the employee will help to develop and apply data analysis and visualization techniques and tools in support of federal and state transportation programs.

Duties

As a Data Scientist, you will:

Requirements

• You must be a U.S. citizen & meet specialized experience to qualify
• Submit application and resume online by 11:59 PM EST on the closing date
• Required documents must be submitted by the closing date.
• Direct Hire Authority will be used to fill this position

Qualifications

To meet the minimum qualifications for this position, you must (1) meet the Education Requirement for the series, (2) provide a copy of transcripts for verification, AND (3) meet either the education or experience qualifications for the grade at which you are requesting consideration. To qualify for the GS-11 on Experience, you must have at least one year of experience equal or equivalent to the GS-09 it must include: Experience using data science tools, techniques and technologies to process large, datasets into structured formats for matching, analysis, or estimation. Experience using data science knowledge in reviewing, formatting, analyzing, and providing information from multiple systems for data reports and projects and presenting results to individuals and groups such as managers, clients, professional organizations, and/or other groups and individuals. To qualify for the GS-11 on Education alone, you must have: 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. You can also qualify based on a combination of higher level graduate education and experience. This must be fully supported by your resume and transcripts, provided with your application. To qualify for the GS-12 on Experience, you must have at least one year of experience equal or equivalent to the GS-11 it must include: Experience using data science tools, techniques and technologies to process large, datasets into structured formats for matching, analysis, or estimation. Experience using data science knowledge in reviewing, formatting, analyzing, and providing information from multiple systems for data reports and projects and presenting results to individuals and groups such as managers, clients, professional organizations, and/or other groups and individuals. You cannot qualify on education at the GS-12 level; you must have experience. To qualify for the GS-13 on Experience, you must have at least one year of experience equal or equivalent to the GS-12 it must include: Experience applying statistical analysis to determine and/or confirming technical validity and acceptability (fitness-for-use)  of new or combined data sources, machine learning outputs, and/or data science methods. Experience leading projects using data science tools, techniques and technologies to process large datasets into structured formats for matching, analysis, or estimation. You cannot qualify on education at the GS-13 level; you must have experience. To qualify for the GS-14 on Experience, you must have at least one year of experience equal or equivalent to the GS-13 it must include: Experience in the designing and developing of data analytics/science related products using data science tools, techniques and technologies. Experience managing full life cycle data science projects, identifying technical validity and acceptability (fitness-for-use) of products and providing appropriate recommendations for utilization. You cannot qualify on education at the GS-14 level; you must have experience. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: Knowledge of data science theory and utilization sufficient to serve as a contributor in the development of analysis and the application of data science solutions to assess the safety, economic, social or environmental impacts of transportation. Knowledge of and skill in applying statistical theories and methods used in the acquisition, collection, evaluation, classification, and analysis of nationwide navigation data to develop new and improved method. Ability to support the development of algorithms, programs, relational databases and systems architecture sufficient to utilize them in the planning, development, and execution of data science applications solutions to transportation policy issues. Ability to acquire, update, and integrate large datasets from diverse sources to address key transportation issues. Skill with one or more programming languages, and one or more spatial analysis tools (Python, R, ArcGIS, SQL). For all types of consideration, experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social).  Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.  You will receive credit for all qualifying experience, including volunteer experienceFor additional information about applying to Federal positions, please click on the following link: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-policies/#url=e4 Students enrolled in a qualifying degree program can apply if the anticipated graduation date is within six months of closing date of the announcement. Graduation transcript must be received before start date. Other applicants must meet all qualification requirements by the closing date of this announcement.

Education

Basic Requirements:

1. 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

2. 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.

Contacts

• Address DOT, OFFICE OF THE SECRETARY 1200 New Jersey Ave., SE / HAHR-50 Washington, District of Columbia 20590 United States
• Name: Automated Staffing Office
• Phone: 000-000-0000
• Email: [email protected]