Associate Travel Demand Modeler | Data-Driven Mobility

WSP Global Inc.

San Diego (CA)

Presencial

USD 70.000 - 116.000

Jornada completa

Hace 3 días
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Descripción de la vacante

WSP Global Inc. is seeking an Associate Travel Demand Modeler in the United States to develop and apply advanced travel demand forecasting models for regional and statewide systems.

You will transform data from surveys and mobility datasets into actionable insights for planners and decision-makers. The role requires strong programming (Python or R), GIS proficiency, and experience with major modeling software.

Formación

  • Bachelor's degree in a related field.
  • 1–3 years of travel demand modeling experience.
  • Strong knowledge of travel behavior and forecasting methods.
  • Proficiency in Python or R for data processing and scripting.
  • Hands-on experience with travel demand modeling software (Cube, TransCAD, EMME).
  • Experience building automated reporting, visualization and dashboards (Tableau, Power BI, R Shiny).
  • Experience with GIS tools (ArcGIS, QGIS) for spatial analysis.

Responsabilidades

  • Develop, apply, and maintain travel demand forecasting models (regional and statewide).
  • Deliver data-driven insights to inform policy, planning, and infrastructure decisions.
  • Integrate and analyze big data, surveys, and mobility datasets to improve models.
  • Collaborate with public and private planning agencies nationwide.
  • Translate model results into clear visualizations for technical and non-technical audiences.
  • Contribute to a collaborative culture focused on growth and mentorship.

Conocimientos

Python or R
Travel demand modeling
GIS analysis
Communication
Data analysis

Educación

Bachelor's degree in Transportation Engineering, Civil Engineering, Urban Planning, Data Science, or related field

Herramientas

Cube
TransCAD
EMME
Tableau
Power BI
R Shiny
ArcGIS
QGIS

Descripción del empleo

WSP Global Inc. is seeking an Associate Travel Demand Modeler in the United States to develop and apply advanced travel demand forecasting models for regional and statewide systems.

You will transform data from surveys and mobility datasets into actionable insights for planners and decision-makers. The role requires strong programming (Python or R), GIS proficiency, and experience with major modeling software.

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