Data Analyst- Travel Demand Modeler

About Houston-Galveston Area Council The Houston-Galveston Area Council is one of the largest regional planning commissions in the country with a diverse service area of 13 counties and more than 7 million people. We are the pulse of our region addressing issues that cross city limits and county lines every single day. We make decisions that affect our transportation system, ensure the safety and well-being of our seniors, connect people to jobs, help families recover from natural disasters, preserve water quality for our children, and so much more. We work to make the region a great place to live, work, and thrive. What will I be doing? ü Assist in developing and managing H-GAC’s multilayer models, including the activity-based model, four-step travel demand model (TDM), dynamic traffic assignment (DTA) model, and micro-simulation model. ü Utilize big data and apply machine learning techniques to support the development, calibration, and enhancement of travel demand models. ü Assist in updating, validating, and calibrating the travel demand model. ü Provide modeling support for corridor planning studies, sub-area planning studies, and special planning studies. ü Assist in researching and developing modeling features related to emerging transportation technologies, transformative modes, and shared mobility services. ü Prepare advanced technical information and effectively communicate findings to internal and external audiences through written reports, presentations, and verbal communication. Key Qualifications ü Degree in (urban) planning, transportation engineering or a related field of study. ü Knowledge of one or more transportation modeling software programs: Bentley (Citilabs) CUBE VOYAGER, Caliper TransCAD, Metropia DynusT, PTV VISUM, VISSIM, VISTRO and Synchro. ü Knowledge of data analysis and visualization software: GIS or Tableau. ü Understanding of fundamentals in travel demand modeling including advanced practices Do you have… ü Bachelor’s degree in an applicable academic discipline or related field of study ü 3 years of experience working with local government, nonprofit programs, school or in job related duties Preferred Qualifications ü Master’s degree in (urban) planning, transportation engineering or a related field of study on traffic forecast modeling. ü Hands-on experience in Python or R. ü Familiarity with GIS and experience working with and visualizing spatial data. ü We are looking for a candidate that is willing to learn new skills in a fast-paced environment. H-GAC is an equal opportunity/AA employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, or protected veteran status.