Salary Range: 110000 to 155000 (Currency: USD) (Pay period: per-year-salary)

Responsibilities

• Manage projects overseeing staff, deliverables, budget, and schedule  
• Develop high-quality staff and client relationships  
• Mentor and develop forecasting staff through projects and trainings  
• Analyze and solve complex transportation planning or engineering problems dealing with all travel modes  
• Apply knowledge of the theory, principles, and practices of transportation planning, travel demand forecasting, travel behavior analysis, and data analysis  
• Apply transportation forecasting software programs, such as CUBE, Emme, TransCAD, and Visum, to generate forecasts from a wide variety of models  
• Use statistical and data science software such as Python and R to collate, clean, and analyze large data sets 
• Use a variety of other software programs to help visualize forecasts for elected officials, managers, and other decision makers  
• Think both critically and intuitively through the progression of projects to clearly understand the results and identify insights as to how they are important to the big picture in each unique project  
• Participate in travel forecasting research through our Forecasting discipline group  
• Prepare papers and presentations for technical conferences 
• Support marketing efforts through preparation of scopes, cost proposals and participation in intelligence gathering activities 

Qualifications

• 4-8 years of work experience in travel demand modeling and travel behavior forecasting (CUBE and TransCAD strongly preferred)    
• Master’s or bachelor’s degree in transportation, civil engineering, or related major  
• Experience with travel demand modeling software, including Cube, TransCAD, VISUM, Emme, etc.  
• Ability to communicate clearly and concisely, with strong writing, verbal, non-verbal, and presentation skills  
• Ability to delegate work, manage small teams and oversee budgets  
• Experience with the development and application of four-step travel demand models, tour-based models, and activity-based models including knowledge of basic statistical concepts and data analysis techniques  
• Comfort with working beyond the model: understanding limitations, applying the big picture, and generating innovative ideas  
• Ability to translate the results of complex analysis to clients in appealing and intuitive ways  
• Computer and database programming and scripting skills (Python, C++, R, VBA, Access, or similar) and proficiency with GIS  
• Professional license or certification preferred (e.g., PE, AICP, PTP)