Freight Staff Jobs in Washington (NOW HIRING)

Are you ready to learn about the intersection of data analytics and transportation? Do you want to learn how to transform the way data and statistics inform policy decisions? The Bureau of Transportation Statistics (BTS) is the principal federal statistical agency within the U.S. Department of Transportation (DOT), leading the department in data analytics, survey design and data-driven research. We provide objective, comprehensive and relevant information to decision makers and the public; your participation in the projects below will help us examine the extent and use of America's transportation systems, how those systems perform, and transportation's impacts.

We are looking for applicants with backgrounds in network science and data-driven disciplines. This is a great opportunity to strengthen your programming and analysis skills with national data and to gain invaluable experience learning fromsubject matter experts. The ideal candidate will have some familiarity withtransportation network assignment methods, data processing, and programming, with knowledge of data mining and predictive modeling. This appointment is an excellent opportunity to provide input, direction, and creativity into projects involving vitally important freight transportation databases as well as skill development and training, plus networking opportunities with government and industry. If this sounds exciting to you, come apply your network analytics and research skills to help shape the best U.S. freight transportation system!

You will participate inthe Office of Statistical and Economic Analysis (OSEA) where you will join a team of highly skilled data scientists, engineers, and other research fellows. OSEA develops numerous transportation data products, including the Freight Analysis Framework (FAF), which is used across the US and internationally to understand transportation trends and inform policy decisions. OSEA staff collaborate across agencies, both within and outside DOT, to explore innovative methods of data collection/analysis/visualization, algorithm development, and modeling methods. Our goals include improving existing data development programs and initiating new ones.

We are currently researching new ways to apply network flow algorithms at a large scale to simulate nationwide U.S. freight flows. You will be involved with this exciting area in one or more projects in freight transportation and supply chain contexts. You will learn and apply network analytics techniques to evaluate the flow of cargo throughout the Nation's complex multimodal system, which includes highway, rail, water, pipeline, air, and multimodal networks. You will researchprimary and auxiliary source data during this appointment and gain experience in applying network analysis methods in a high-powered, cloud-based framework, and in crafting analytical tools that inform policy. Strong communication, coordination, and teamwork skills are essential to be successful in this appointment.

The selected applicantwill have opportunities to learn and influence national data programs, perform research on statistical methodology to enhance data quality and usability, research innovations to improve efficiency and timeliness of data collection and production, learnBTS privacy and confidentiality efforts, and learn howto represent BTS in various settings such as conferences.

This appointment is for one year. Extensions may be offered in increments of one year up to a total of five years. Extensions are contingent upon project needs and funding availability.

This opportunity offers a competitive stipend and provisions such as a travel allowance and health insurance.

This opportunity is located within the OSEAand the BTS in Washington, DC or remote.

The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOE, DOT, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE letter of appointment and Terms of Appointment.