Senior Transportation Data Scientist (assistant Research Engineer)

umdphysics.umd.edu

College Park, Maryland, US
$160,000-177,968.79; not specified; for more infor...
Fully remote
Python, r, sql, 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 and modeling efforts within the Center for Advanced Transportation Technology (CATT) Lab. The ideal candidate will have extensive experience in data science, transportation data analysis, and team management, while the position offers the flexibility of remote work and a competitive salary

Job Summary

  • The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design, providing cutting-edge analytics products and situational awareness tools.
  • The Senior Transportation Data Scientist will lead CATT Lab’s reporting, analysis, modeling and visualization needs, integrating predictive analytics and leveraging new data sets.
  • The role involves managing junior data scientists, leading cross-team communications, and independently meeting with clients to discuss inquiries and interpret data results.

Matching Summary

Match Score: 85

The University of Maryland's A. James Clark School of Engineering is seeking a Senior Transportation Data Scientist to lead analytics and modeling efforts within the Center for Advanced Transportation Technology (CATT) Lab. The ideal candidate will have extensive experience in data science, transportation data analysis, and team management, while the position offers the flexibility of remote work and a competitive salary.

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 suite data expertise

Nice-to-have

  • Public agency perspectives
  • Transportation reference manuals
  • Scalable ML models for real-time analysis
  • Big data technologies (Spark, Hadoop)

Key Requirements

  • Doctoral degree in relevant field
  • 4+ years professional experience with Python, R, SQL, Java
  • 4+ years experience implementing prediction and ML models
  • 4+ years experience wrangling data
  • 4+ years experience in a lead technical role
  • 1+ years experience with RITIS, PDA, Trip Analytics
  • Experience analyzing transportation trajectory and probe data
  • Strong background in transportation data collection methods
  • Strong communication skills to non-technical audiences

Work Rights

Must live in the US

Tailored Resume

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