Senior Transportation Data Scientist (assistant Research Engineer)

Center for Advanced Transportation Technology (CATT) Laboratory

College Park, Maryland, US
$160,000-177,968.79; not specified; for more infor...
**
Python, r, sql, java
Machine learning models
Data wrangling and preprocessing
** The Center for Advanced Transportation Technology (CATT) Laboratory at the University of Maryland is seeking a Senior Transportation Data Scientist to lead analytics and modeling efforts in transportation safety and security. The ideal candidate will have extensive experience in data science, especially with predictive analytics and machine learning, while fostering collaboration within a diverse team environment. **

Job Summary

  • The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, delivering on a promise that all graduates will leave ready to impact the Grand Challenges of the 21st century.
  • The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design.
  • Our work saves taxpayers money, improves the environment, and saves lives!

Matching Summary

Match Score: 75

** The Center for Advanced Transportation Technology (CATT) Laboratory at the University of Maryland is seeking a Senior Transportation Data Scientist to lead analytics and modeling efforts in transportation safety and security. The ideal candidate will have extensive experience in data science, especially with predictive analytics and machine learning, while fostering collaboration within a diverse team environment. **

Salary

$160,000-177,968.79; Not specified; For more information on Regular Faculty benefits, select this link

Skills & Requirements

Must-have

  • Python, R, SQL, Java
  • Machine learning models
  • Data wrangling and preprocessing
  • Transportation data analysis
  • RITIS, PDA, Trip Analytics

Nice-to-have

  • Public agency perspectives
  • Transportation reference manuals
  • Scalable prediction models
  • Big data systems (Spark, Hadoop)

Key Requirements

  • Doctoral degree in Data Science, Transportation, Engineering, Computer Science or relevant field
  • 4+ years professional experience with Python, R, SQL and/or Java
  • 4+ years experience implementing prediction and machine learning models
  • 4+ years experience wrangling data and writing preprocessing scripts
  • 4+ years experience in a lead technical role
  • 1+ years experience with RITIS, PDA and Trip Analytics
  • Strong background in transportation data collection methods
  • Strong communication skills

Work Rights

Must live in the US

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