Travel Demand Modeler

About the role

AECOM is seeking a Travel Demand Modeler to join our Arlington, VA office, supporting a diverse portfolio of transportation planning and modeling projects across the Mid-Atlantic and nationwide. This role is suited for an early-career professional interested in developing technical expertise in travel demand modeling, data analysis, and modeling-related software tools.

Responsibilities

• Support the development, calibration, validation, and application of travel demand models (trip-based and/or activity-based)
• Aid in implementing and maintaining travel demand models and related tools
• Contribute to analyses using dynamic traffic assignment (DTA) and multimodal modeling approaches
• Support data preparation, model inputs, and performance evaluation
• Assist with troubleshooting of model runs and resolve technical issues
• Ensure quality, consistency, and reproducibility of modeling outputs
• Assist in integrating modeling tools, scripts, and workflows
• Collaborate with interdisciplinary teams of planners, engineers, and analysts

Requirements

• Bachelor’s degree in Engineering, Transportation Planning, Applied Mathematics, Computer Science, or related field
• Basic programming experience in Python, R, C++, or similar languages
• Experience working with Excel and data analysis techniques
• Exposure to GIS platforms (ArcGIS Pro, QGIS)

Qualifications

• Master’s degree in a related field preferred
• Relevant experience, including internships or academic research
• Strong problem-solving, analytical, and communication skills
• Interest in developing coding and analytical skills
• Academic or project exposure to Activity-Based Models (ABM) and/or Dynamic traffic modeling or network analysis
• Familiarity with or interest in COG/TPB travel demand models (Gen2 or Gen3) or travel modeling applications for MPOs or DOTs
• Learning or using C++ for modeling applications
• Writing efficient, well-structured code
• Familiarity with Big data sources (RITIS, StreetLight, Replica, TomTom), visualization tools (Power BI, Tableau) and cloud environments (AWS, Azure)
• Interest in modeling workflows, automation, and emerging tools