Jobs and internships
Careers at BTS

Ready to work on the intersection of data analytics and transportation? Want to help transform the way data and statistics inform policy decisions? BTS is the principal federal statistical agency within the Department of Transportation, leading the department in data analytics, survey design and data-driven research. We provide independent, objective, comprehensive and relevant information to decision makers and the public; your work in the positions below will help us examine the extent and use of America’s transportation systems, how those systems perform, and transportation's impacts.
The selected individuals will have opportunities to guide national surveys, perform research on statistical methodology to enhance data quality and usability, direct innovations to improve efficiency and timeliness of data collection and production, lead BTS privacy and confidentiality efforts, oversee and manage contracts, and represent BTS in various settings.
You must be a U.S. citizen and meet the requirements of the job series and grade to be eligible for consideration.
For questions or more information, please contact BTSjobs@dot.gov.
Permanent Positions
BTS is expanding its permanent staff of career civil servants. If you are interested in any of the positions listed at the bottom of this page, visit USAJobs and search for the position title or click Apply within the description below.
Fellows
The BTS Fellows program prepares a diverse, highly talented, educated, and skilled pool of individuals to address science, technology and policy issues related to transportation systems, and enhances the future workforce to be both knowledgeable and trained in fields of specific interest to transportation and statistics agencies. BTS Fellows become members of teams working on topics of national importance and will become part of the future supply of individuals with specific experience in national and international transportation statistics, data science, research and policy. Some go on to join the USDOT as staff members; others will collaborate with USDOT scientists from academic or other positions; and all will make professional contributions in areas of importance to the USDOT mission.
BTS Fellows receive a highly competitive stipend, health insurance subsidy, travel and moving reimbursement, and an allowance for education, scientific activities and professional development. Fellows join BTS for a one-to-three-year appointment at the USDOT.
BTS is currently seeking people interested in bringing transformative change to the Federal Government. These developmental opportunities will infuse fresh perspective, skills, and methodologies regularly into BTS processes, products, and initiatives. Fellow appointments are listed at Fellow Opportunities.
About the Position
The Director has two roles:
- USDOT Statistical Official (SO): Pursuant to the Evidence Act under 5 USC § 314(a), the incumbent serves as USDOT Statistical Official, responsible for directing and coordinating statistical policy for the Department, overseeing the development of the Department data quality standards and confidentiality standards to safeguard sensitive information, and advising the Department on the validity of statistical techniques and conclusions.
Director of the Bureau of Transportation Statistics: 49 USC §6302 legislates the authorities and responsibilities of BTS Director. BTS Director serves as the Secretary’s senior advisor on data and statistics and is responsible for directing BTS programs to enhance data collection, analysis, and reporting. In addition, the Director ensures the most cost-effective use of transportation monitoring and is responsible for coordinating the collection of information with the Operating Administrations of the Department and with other Federal agencies. The Director also collects, compiles, analyzes and publishes a comprehensive set of transportation statistics on performance and impacts of the national transportation system.
- Demonstrated executive level experience providing leadership in the planning, development,
implementation, and evaluation of a statistical data collection program to assess the performance of the national transportation system. - Demonstrated executive level experience collaborating with partners and stakeholders to assess statistical data and evidence to inform policy, program, and regulatory decisions impacting the transportation community.
- Commitment to the Rule of Law and the Principles of the American Founding – This core qualification requires a demonstrated knowledge of the American system of government, commitment to uphold the Constitution and the rule of law, and commitment to serve the American people.
- Driving Efficiency -This core qualification involves the demonstrated ability to strategically and efficiently manage resources, budget effectively, cut wasteful spending, and pursue efficiency through process and technological upgrades.
- Merit and Competence - This core qualification involves the demonstrated knowledge, ability and technical competence to effectively and reliably produce work that is of exceptional quality.
- Leading People - This core qualification involves the demonstrated ability to lead and inspire a group toward meeting the organization’s vision, mission, and goals, and to drive a high-performance, high-accountability culture. This includes, when necessary, the ability to lead people through change and to hold individuals accountable.
- Achieving Results - This core qualification involves the demonstrated ability to achieve both individual and organizational results, and to align results to stated goals from superiors.
You must be a U.S. citizen to be eligible for consideration.
An associate’s, bachelor's, master's, or doctoral degree in a relevant field is required. A master’s degree is preferred.
- Familiarity with data visualization software (e.g., Tableau, Socrata, etc.)
- Familiarity with GIS and spatial mapping
- Familiarity with R or Python
- Familiarity with linking various transportation datasets
- Familiarity with Travel Demand Modeling/Forecast
- Strong written and verbal communication skills
- Self-starter with the ability to learn under limited guidance and changing outcome goals
- Knowledge of and interest in U.S. transportation systems; state DOT's and MPOs
- Ability to present results in a clear, effective, and attractive manner to inform subsequent research
- Proficiency translating high-level business requirements into detailed design specifications
- Ability to engage among offices and units to obtain information, collaborate on data-related projects, and validate findings and conclusions
- Familiarity with climate change mitigation and adaptation policy
- Familiarity with alternative energy and transportation statutes
A bachelor's, master's, or doctoral degree in a relevant field is required. The degree must have been conferred within 60 months of the appointment start date. Relevant fields include the list of disciplines found below under Eligibility Requirements.
Ideal candidates will have:
- Demonstrated experience in network assignment methods and network flow simulation as they relate to transportation
- Background that includes one or more quantitative areas such as transportation engineering, network science, machine learning, statistical modeling, optimization, or data science
- Experience with R or Python
- Some experience with other languages such as C or C++
- Demonstrated experience linking and comparing various datasets
- Strong written and verbal communications skills
- Ability to participate with limited supervision and to adapt to changing goals
- Experience presenting results in a clear and effective manner
- Some experience with data visualization
- Proficiency in translating high level business requirements into research-based tasks and results
- Experience or interest in applying modeling and simulation methods to applications involving multimodal freight, shipping, and logistics related topics
- Ability to liaise with others to obtain information, collaborate on data-related research projects, and validate findings and conclusions