<p>Responsible for conducting and supporting research related to systems modeling, city and regional planning, and travel demand modeling.</p> <p>Is Time Limited No If Yes, Appointment Length Wolfpack Perks and Benefits</p> <p>As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being.</p> <p>What we offer:</p> <ul> <li>Health Insurance for Temporary Employees </li><li>Enhance your career with LEAD courses </li><li>Attend non-revenue generating sporting events for free. </li></ul> <p>Attain Work-life balance with our Childcare discounts, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.</p> <p>Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.</p> <p>Department Information</p> <p>Job City & State Raleigh, North Carolina Department Institute for Transportation Research and Education</p> <p>System Information</p> <p>Classification Title Temporary-Professional NonFaculty Working Title Data Analyst</p> <p>Position Information</p> <p>Requirements and Preferences</p> <p>Work Schedule Monday - Friday, 8:00am - 5:00pm, Hybrid schedule eligible Other Work/Responsibilities</p> <p>Cleaning, validating, and processing geospatial datasets. Writing code for, interpreting, and visualizing the results of statistical, machine learning, and process-based models. Conducting research, literature review, and information synthesis to evaluate data providers and data products. Documenting and presenting methods, models, and results to support open science, reproducibility, and data provenance. Contributing to the design and implementation of systems models related to regional planning, land use, and transportation. Meeting regularly with the program team.</p> <p>Minimum Experience/Education</p> <p>Bachelor's degree in city and regional planning, geospatial data science, or a related field or equivalent professional experience.</p> <p>Department Required Skills</p> <p>Basic familiarity and prior experience with R and/or Python. Moderate experience with statistical regression and machine learning methods. Strong familiarity with GIS, geospatial data, and geospatial methods.</p> <p>Preferred Years Experience, Skills, Training, Education</p> <p>Familiarity with data management best practices. Experience with transportation modeling and/or other forms of systems modeling. Basic familiarity or prior experience in the fields of city and regional planning, transportation modeling, and/or systems modeling.</p> <p>Recommended experience of at least two years of applied geospatial problem solving (could be a master's degree or professional work experience).</p> <p>Required License or Certification</p> <p>N/A</p> <p>Valid NC Driver's License required? No Commercial Driver's License Required? No</p> <p>Recruitment</p>