The Metropolitan Council is looking to support multi-modal transportation planning in the Minneapolis and St. Paul region through innovative approaches to collecting and analyzing transportation data and the development and application of cutting-edge travel forecasting models and analysis tools.
Requirements
- Experience performing and communicating data analysis and statistical modeling of transportation data
- Experience working with transportation data and models
- Experience in programming and modeling languages (R or Python preferred)
- Experience in data mining; passive and/or 'big' data; structured, unstructured, and semi-structured data
- Knowledge of statistical analysis techniques (regression analysis, survival analysis, time-series modeling, etc.)
- Knowledge of database systems design and maintenance
- Knowledge of web-based interactive tool development
Responsibilities
- Perform technical, statistical, and analytic tasks that support long-range transportation planning and research on regional transportation issues
- Develop visualizations of transportation data and performance measures
- Develop and apply cutting-edge transportation models that assess the region's future
- Develop transportation forecasts at the regional, corridor, and project level
- Improve workflows across the department by developing applications, processes, and analyses for all sorts of data
- Process, clean, and code transportation data
- Analyze, examine, and visualize spatial information in static and interactive maps
Other
- High school diploma/GED with seven years of experience
- Associate degree with five years of experience
- Bachelor's degree with three years of experience
- Master's degree with one year of experience
- Ability to read and understand complex academic and technical papers
