Jr. Transportation Planner/Data Scientist

Texas A&M Transportation Institute-posted 11 months ago
Full-time • Entry Level
Hybrid • Austin, TX
Transit and Ground Passenger Transportation
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The Texas A&M Transportation Institute (TTI) is an agency of the State of Texas and a member of The Texas A&M University System. For 70 years, TTI has addressed complex transportation challenges and opportunities with innovation, objectivity, and unmatched technical expertise. Our staff delivers excellence, value, and thought leadership to ensure our research sponsors achieve their goals. TTI leads in the creation of knowledge that transforms transportation for the benefit of society, delivering practical, innovative, and sustainable solutions to improve the movement of people, data, and goods through research, education, and technology transfer.

  • Conduct applied research in transportation planning and environmental planning.
  • Perform data and statistical analysis, developing new approaches for analyzing data and maintaining large datasets.
  • Develop databases and create data visualizations.
  • Document projects through technical reports and presentations.
  • Manage tasks and prepare internal and external presentations.
  • Perform other duties as assigned.
  • Bachelor's Degree in statistics, engineering, planning, or other related field.
  • Four years of related experience.
  • Excellent oral and written communication skills along with interpersonal and presentation skills.
  • Proficiency in Microsoft Office (Outlook, Word, Excel, PowerPoint), database software (e.g., MS ACCESS, SQL, VBA), visualization software (e.g., Tableau), and statistical software (e.g., R, SPSS, SAS).
  • ArcGIS skills and Python proficiency.
  • Ability to multi-task and work cooperatively with others.
  • Detail-oriented and a problem solver.
  • Master's degree in Statistics, Engineering, Planning, or other related field.
  • Six years of relevant work experience.
  • Experience in conducting applied research in transportation planning.
  • Strong data analytical/statistical skills.
  • Experience working with complex datasets and visualization software.
  • Hybrid work environment/telecommuting options.
  • Flexible work hours.
  • Family friendly policies.
  • High staff retention rates.
  • Leadership development and wellness programs.
  • Data allowance and home office equipment reimbursements.
  • Relocation assistance (if eligible).
  • Tuition reimbursement program (if eligible).
  • Health coverage options for employees and their families.
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