Data Research Fellow
Organization
U.S. Department of Transportation (DOT)
Reference Code
USDOT-2022-2001
What you will bring:
The ideal candidate will have a combination of the following skills and experiences:
- Experience: Develop reusable programs and scripts to facilitate data processing, cleaning, and retrieval efforts using programming languages such as SAS, R, Python, and SQL.
- Data Processing: (1) Read and merge multiple datasets; (2) Perform record linkage across disparate datasets; (3) Clean data to produce a final analysis-ready dataset.
- Statistical Analysis: (1) Perform descriptive & inferential analysis; and (2) Perform data mining & predictive modeling.
- Record Management: (1) Document data processing and analysis methods & results; and (2) Write a technical report.
Who we are:
The Bureau of Transportation Statistics (BTS) of the United States Department of Transportation (USDOT) is the preeminent source of statistics on aviation, surface transportation, freight flow, and transportation economics, and provides context to decision makers and the public for understanding transportation statistics. BTS assures the credibility of its products and services, promoting innovative methods of data collection, analysis, visualization, and dissemination. See more details at https://www.bts.gov/.
Who we want to invite:
We are looking for a paid Fellow trained in data driven disciplines. This is a great opportunity to strengthen your programming and analysis skills with national data and to gain invaluable experience working with subject-matter experts. The ideal candidate will be experienced in data processing, programming, statistical analysis, and knowledgeable of data mining and predictive modeling. The fellowship offers an excellent opportunity to provide input, direction, and creativity into projects involving national databases as well as skill development and training, and networking opportunities. If this sounds exciting to you, come apply your data analysis and research skills to help shape the best U.S. transportation system!
How you will contribute:
You will be in the Office of Data Development and Standards (ODDS). The ODDS designs, develops and conducts data development programs to capture information on U.S. transportation system for effective use in decision making. ODDS staff work collaboratively across agencies, within and outside USDOT, to explore innovative methods of data collection/analysis/visualization and survey design in improving and initiating data development programs.
You will be involved with developing and implementing transportation data development programs through several projects. You will apply data analytics techniques to collect, augment, and analyze transportation data. You will be involved with researching administrative and auxiliary data sources to enhance the transportation data. Strong communication, coordination, and teamwork skills are essential to be successful in this role.
Application Due:
Applications should be submitted by July 31, 2022, to receive a full consideration. Applications will be accepted and considered on a rolling basis until the position is filled. If you have questions, please email USDOT@orau.org. Please list the reference code for this opportunity in the subject line of your email.
Stipend and Benefits:
- Stipend: $57,000 – $80,000 (Annual)
- Professional Development: $2,000
- Health Insurance: $3,000
- Relocation Expense: $2,000
Qualifications
The appointed Data Research Fellow must have received a Bachelor's Degree, Master’s Degree or Ph.D. program in a data driven discipline required (e.g., Mathematics, Statistics, Data Science, Economics, Computer Science, Engineering, Social and Behavioral Science, Operation Research, Business Logistics, or Information Systems). Experience or knowledge in freight and supply chain issues desired.