Data Analysis and Transportation Safety Fellowship

APPLICATION DEADLINE: April 2, 2019 3:00PM ET (applications will be reviewed on a rolling-basis)

https://www.zintellect.com/Opportunity/Details/USDOT-2019-0005

The U.S. Department of Transportation (DOT) seeks a Highway Safety Data Fellow. This paid appointment will be supporting the Safety Data Initiative (SDI), with a primary focus on the transportation safety of pedestrians, bicyclists, and other non-occupants in rural areas. The selected applicant will primarily understand, analyze, and visualize DOT safety databases, data sources outside of the Department, and geospatial data. This project offers a unique opportunity to take a more holistic approach to assessing vulnerable roadway user safety in varying types of rural communities than is generally used. Under the guidance of a mentor, the selected participant will integrate data and performanalysis to determine the relationships among demographic/travel behavior variables, crashes, and roadway characteristics, and identify insights that have the potential to help State and local governments responsible for roadway safety hone their investments to address the large portion of traffic fatalities that occur among non-occupants. This fast-paced research opportunity will give you hands-on experience and the opportunity to collaborate with experienced data professionals from the Federal Highway Administration (FHWA), DOT’s other operating administrations, and offices under the Secretary of Transportation such as the Office of Policy Development, Strategic Planning, and Performance. This is your opportunity to hone the knowledge you have gained during your graduate academic career and collaborate on research that has high visibility to DOT senior leaders.

Qualifications

The qualified candidate should have received a master’s or doctoral level degree in the relevant fields, with coursework in data integration, data analysis, and visualization, or will complete the degree by June 2019. Degree must have been received within three years of the appointment start date.

Preferred Skills:

Demonstrated ability to transform information and data into visualizations that tell a compelling story
Demonstrated ability to work with and connect multiple data systems and sources
Experience analyzing data to identify patterns and trends
Experience with statistical analysis and econometric modeling
Experience presenting results to inform next steps
Experience with data visualization tools and techniques, including the application of modern programming languages and open source software
Experience with geospatial data visualization is a plus
Strong written and verbal communications skills
Ability to work across various offices and work units to obtain information, collaborate on data-related projects, and validate findings and conclusions
Ability to work with subject matter experts to identify and mitigate data limitations
A self-starter with the ability to perform work with limited supervision and changing outcome goals
Knowledge of U.S. transportation systems; basic knowledge of transportation safety issues is a plus
Experience working with forecast data and risk modeling is a plus

The qualified candidate must have received a master’s or doctoral level degree in the relevant fields by June of 2019. Degree must have been received within three years of the appointment start date. The program is open to all qualified individuals without regard to race, sex, religion, color, physical or mental disability, or veteran status. The appointment is full time for one year and may be renewed upon recommendation by DOT and contingent on the availability of funds. The participant does not become a U.S. DOT Federal employee.

For a full description of this opportunity and to submit your application, visithttps://www.zintellect.com/Opportunity/Details/USDOT-2019-0005.

If you have any questions, send an email to USDOT@orau.org. Please include the reference code for this opportunity (USDOT-2019-0005) in your email.