Data Analyst

Responsible for conducting and supporting research related to systems modeling, city and regional planning, and travel demand modeling.

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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.

Bachelor's degree in city and regional planning, geospatial data science, or a related field or equivalent professional experience.

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.

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.
Recommended experience of at least two years of applied geospatial problem solving (could be a master's degree or professional work experience).

N/A

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu. Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

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