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Flexible Python Gis Jobs in Tennessee (NOW HIRING)

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Flexible Python Gis information

What is a flexible Python GIS professional?

A Flexible Python GIS professional is someone who specializes in using Python programming within Geographic Information Systems (GIS) and is adaptable to various tasks, projects, and work environments. They typically work with spatial data, automate geoprocessing workflows, and develop custom GIS solutions using Python libraries such as ArcPy, GeoPandas, or PyQGIS. The 'flexible' aspect often refers to their ability to handle diverse GIS software, work remotely or on different schedules, and collaborate across multiple industries that require geospatial analysis.

What is the difference between Flexible Python Gis vs Python GIS Developer?

AspectFlexible Python GisPython GIS Developer
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python certificationsBachelor's in GIS, Computer Science; Python certifications often preferred
Work EnvironmentGIS firms, government agencies, environmental organizationsGIS firms, tech companies, government agencies
Industry UsageData analysis, mapping, spatial data managementMapping, spatial data analysis, application development
Common Search/ComparisonYesYes

Flexible Python Gis and Python GIS Developer roles share similar skills and work environments, focusing on spatial data and Python programming. The main difference lies in the scope; Flexible Python Gis often emphasizes adaptable GIS solutions, while Python GIS Developer roles may focus more on application development and custom GIS software. Both positions are vital in GIS projects across various industries.

What are the key skills and qualifications needed to thrive as a flexible Python GIS specialist?

To thrive as a Flexible Python GIS Specialist, you need strong proficiency in Python programming, spatial data analysis, and a solid understanding of geographic information systems, often supported by a degree in geography, computer science, or a related field. Familiarity with GIS software like ArcGIS or QGIS, libraries such as GeoPandas and Shapely, and experience with spatial databases are typically required. Excellent problem-solving, adaptability, and communication skills help professionals collaborate with diverse teams and address dynamic project requirements. These competencies ensure efficient geospatial data processing, accurate analysis, and impactful solutions in rapidly evolving GIS environments.

What are some common challenges faced by professionals in flexible Python GIS roles, and how can they be addressed?

Professionals in flexible Python GIS roles often encounter challenges such as integrating diverse geospatial data formats, ensuring code scalability for large datasets, and collaborating remotely with interdisciplinary teams. To address these, it's helpful to stay updated on Python GIS libraries (like GeoPandas and Shapely), maintain clear documentation, and use version control systems for collaborative coding. Regular communication with teammates and adopting standardized workflows can also streamline project progress in flexible or remote environments.
What are the most commonly searched types of Python Gis jobs in Tennessee? The most popular types of Python Gis jobs in Tennessee are:
What are popular job titles related to Flexible Python Gis jobs in Tennessee? For Flexible Python Gis jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Flexible Python Gis jobs in Tennessee look for? The top searched job categories for Flexible Python Gis jobs in Tennessee are:
What cities in Tennessee are hiring for Flexible Python Gis jobs? Cities in Tennessee with the most Flexible Python Gis job openings:
Flexible Python Gis jobs near you

Post Doctoral Researcher

Tennessee State University

Nashville, TN • On-site

$110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Posting Details
Position Information
Position Title
Post Doctoral Researcher
Division
College of Agriculture
Department
Environmental Sciences                
Number of hours per week
37.5
Days to be worked
Monday, Tuesday, Wednesday, Thursday, Friday
Months per year
Fiscal (12 months)
If modified, list months
Job Type
Full-Time
Campus
Main Campus
If other location, please indicate
Position Number
121050
Advertised Salary
Pay Basis
Monthly
Job Description
A post-doctoral researcher position is available for a NASA-funded project focused on agroforestry, precision agriculture, and environmental monitoring using Earth observation, GIS, remote sensing, and artificial intelligence (AI). The successful candidate will conduct interdisciplinary research integrating field measurements with NASA Earth observation data, UAV imagery, LiDAR, GIS, and machine learning to assess agroforestry systems, soil health, biodiversity, carbon sequestration, and ecosystem services. Responsibilities include field and geospatial data collection and analysis, developing predictive models and decision-support tools, publishing research, mentoring students, and collaborating with research, Extension, and education partners.
This is a grant-funded, temporary full-time position (24 months).
Essential Job Functions
  • Design and implement field sampling protocols for agroforestry systems, forest farming, silvopasture, alley cropping, and other natural resource management projects.
  • Conduct field sampling and environmental data collection for agroforestry and natural resource projects.
  • Acquire, process, and analyze remotely sensed datasets including NASA Earth observation products, Landsat, Sentinel, LiDAR, UAV imagery, NAIP imagery, hyperspectral data, and other geospatial datasets.
  • Develop predictive models, maps, and decision-support tools for sustainable land management.
  • Publish research, assist with grant writing, present findings at scientific meetings, and mentor students.
  • Support outreach, stakeholder engagement, and collaboration with NASA and university partners.

Specific Abilities/Experience required:
  • Experience processing and analyzing satellite imagery, UAV imagery, LiDAR data, or other geospatial datasets. Proficiency in statistical analysis and programming using R, Python, or similar software.
  • Knowledge of spatial statistics, predictive modeling, machine learning, or AI applications for environmental or agricultural systems.
  • Effective demonstrated quantitative, analytical, and communication skills.

Minimum Qualifications
Ph.D. in agronomy, soil science, horticulture, agroforestry, forest biometrics, quantitative, silviculture, forest ecology, geography, remote sensing, or related natural resources management discipline.
Preference will be given to candidates with experience in one or more of the following:
Agroforestry systems, including alley cropping, silvopasture, forest farming, riparian buffers, or windbreaks. Experience with forest inventory, vegetation mapping, ecological modeling, or ecosystem service assessment.
Special Instructions to Applicants
Employment is contingent upon successfully completing a criminal background check as mandated by Tennessee State University.
Official transcripts for positions which require a post-secondary undergraduate degree, advanced degree and/or certification must be presented upon hire.
An unofficial transcript may be attached in the "Transcript" section.
You will be required to provide names and contact information for three references during your application to the posting. If you are the recommended candidate for the position, our online hiring system will automatically generate solicitation for these letters using contact information you provided.
Open Date
07/17/2026
Close Date
08/17/2026
Job Category
Administrative/Professional
Requisition Number
Benefits
Tennessee State University offers eligible employees a competitive benefits package that includes annual leave (vacation), sick leave, medical, dental, vision, life insurance, retirement, flexible benefits plans and more.
Quick Link
https://jobs.tnstate.edu/postings/10893

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