Senior Transportation Planner/Modeler

ATCS•Herndon, VA

16d•$105,000 - $15,000•Hybrid

About The Position

ATCS is seeking a dynamic and highly motivated Senior Transportation Planner/Modeler to join our growing team! Based out of our Herndon, VA headquarters, this hybrid position offers a stimulating environment where you can contribute to impactful projects and advance your career.

Requirements

Bachelor's or Masters degree in an appropriate field related to traffic engineering and/or transportation planning.
10+ years of travel demand forecast modeling, network modeling and/or socioeconomic modeling
Familiarity with the travel demand forecast software including but not limited to CUBE, TransCad, Synchro and/or VISSIM.
Programming skills in Python and/or R to collect, clean, code and analyze data
Interpersonal skills and an ability to work in a project and team environment

Nice To Haves

Experience synthesizing technical information to facilitate good policy and planning decisions
Data visualization experience
Knowledge of the complexity of the transportation system and land use/transportation issues

Responsibilities

Applying travel models to forecast travel behavior, assess transportation system performance, and analyze impacts of transportation-related policies.
Applying urban models (also known as land use models or socio-economic models) to forecast land use patterns and households and employment trends and analyze land use related policies.
Conducting model calibration and validation, including but not limited to, preparing calibration/validation datasets, designing and conducting model sensitivity tests, drafting technical reports.
Creating model input data, including but not limited to demographic characteristics, land use conditions, transportation network, and policy scenarios.
Interpreting modeling output and communicating analytical findings with technical and non-technical audiences.
Creating and maintaining comprehensive documentation for datasets, processes, and codebases.
Contributing to the larger teams effort in improving data analytical tools and processes, such as researching and adopting coding best practices, streamlining data pipeline, automating repetitive tasks, utilizing collaborative tools and platforms, etc.
Supporting other traffic operations analyses and traffic engineering tasks as needed