Data & Forecasting Internship: Shape Urban Transit

UCI-OC Alliance

California (MO)

On-site

USD 34,000 - 44,000

Full time

14 days+

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Job summary

Transportation Authority is offering a Data and Forecasting Internship focused on transportation modeling and data analysis. You will support the SF-CHAMP activity-based travel demand model, contribute to dashboards, and assist with planning studies.

Ideal candidates have a background in travel forecasting or urban planning, with graduate coursework in relevant fields and strong data skills. Internship requires 20 hours/week for 12 weeks, with preference for 40 hours/week for 6 months.

Qualifications

  • Strong interest in travel forecasting and urban transportation planning is required.
  • Proficiency with word processing, spreadsheets, and presentations is required.
  • Proficiency with computer programming, mapping and spatial analysis (e.g. using ArcGIS), database management, statistical analysis, and experience with transportation planning and analysis software is desired.
  • At least one semester in a relevant graduate level discipline is desired, but experience or education in other fields may substitute.

Responsibilities

  • Assist in developing, maintaining, and applying SF-CHAMP travel demand models.
  • Develop and expand dashboards to expand access to model outputs and data.
  • Support planning studies, policy work, and data-driven transportation planning.

Skills

Travel forecasting
Urban transportation planning
Proficiency with word processing
Spreadsheets
Presentations
Programming
Mapping
Spatial analysis
Database management
Statistical analysis
Transportation planning software

Education

Bachelor's degree
Master's degree preferred

Tools

ArcGIS
Transportation planning software

Job description

Transportation Authority is offering a Data and Forecasting Internship focused on transportation modeling and data analysis. You will support the SF-CHAMP activity-based travel demand model, contribute to dashboards, and assist with planning studies.

Ideal candidates have a background in travel forecasting or urban planning, with graduate coursework in relevant fields and strong data skills. Internship requires 20 hours/week for 12 weeks, with preference for 40 hours/week for 6 months.

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