Senior Transportation Data Scientist (assistant Research Engineer)

ischool.umd.edu

College Park, Maryland, US
$160,000-177,968.79; not specified; for more infor...
**
Python, r, sql, and/or java
Machine learning models
Data wrangling and preprocessing
** The University of Maryland's A. James Clark School of Engineering is seeking a Senior Transportation Data Scientist to lead analytics efforts in transportation data analysis, modeling, and visualization. The role requires a doctoral degree and substantial experience in data science, particularly in transportation systems, and offers a flexible, fully remote work 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.
  • We believe varied perspectives build better products, are proud to have a diverse team, and encourage people of all backgrounds to apply.

Matching Summary

Match Score: 75

** The University of Maryland's A. James Clark School of Engineering is seeking a Senior Transportation Data Scientist to lead analytics efforts in transportation data analysis, modeling, and visualization. The role requires a doctoral degree and substantial experience in data science, particularly in transportation systems, and offers a flexible, fully remote work 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, and/or Java
  • Machine learning models
  • Data wrangling and preprocessing
  • Transportation data analysis
  • RITIS, PDA, and Trip Analytics
  • Git, Jira, Confluence, and Bitbucket

Nice-to-have

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

Key Requirements

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

Work Rights

Must live in the US

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