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Remote Python Gis Jobs in Mississippi (NOW HIRING)

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Remote Python Gis information

What is a remote Python GIS job?

A remote Python GIS job involves working with Geographic Information Systems (GIS) using the Python programming language, but from a location outside of a traditional office, such as from home or anywhere with internet access. Professionals in this role typically analyze spatial data, develop geospatial applications, and automate GIS workflows using Python libraries like GeoPandas, Shapely, and ArcPy. Remote GIS Python developers often collaborate with teams virtually, contribute to mapping projects, and help solve geographic problems across various industries such as environmental science, urban planning, and logistics.

What are the key skills and qualifications needed to thrive as a Remote Python GIS Specialist, and why are they important?

To thrive as a Remote Python GIS Specialist, you need strong expertise in Python programming, geospatial data analysis, and a background in geography, GIS, or a related field. Familiarity with tools such as ArcGIS, QGIS, and libraries like GeoPandas or GDAL, as well as experience with version control systems like Git, is typically required. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help professionals excel in distributed teams. These skills are crucial for delivering accurate geospatial solutions and collaborating efficiently in a remote work environment.

How do remote Python GIS professionals typically collaborate with team members and stakeholders on geospatial projects?

Remote Python GIS professionals often work closely with cross-functional teams, including data analysts, project managers, and domain experts, using virtual communication and collaboration tools. They participate in regular video meetings, share progress via project management platforms, and use version control systems like Git to manage code collaboratively. Effective communication and clear documentation are crucial, as team members may be distributed across different time zones. Additionally, remote GIS professionals frequently present their findings and visualizations to stakeholders, adapting technical outputs for non-technical audiences.

What is the difference between Remote Python Gis vs Remote GIS Analyst?

AspectRemote Python GisRemote GIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentPrimarily remote, focused on coding and data analysisPrimarily remote, involving spatial data analysis and reporting
Industry UsageTech companies, GIS service providers, environmental agenciesGovernment agencies, urban planning, environmental consulting
Common Search & ComparisonYesYes

Remote Python Gis focuses on programming, data processing, and automation using Python in GIS contexts, while Remote GIS Analyst emphasizes spatial data analysis, mapping, and reporting. Both roles often work remotely and require GIS knowledge, but Python Gis roles are more technical and coding-oriented, whereas GIS Analysts focus on spatial data interpretation and visualization.

What are the most commonly searched types of Python Gis jobs in Mississippi? The most popular types of Python Gis jobs in Mississippi are:
What are popular job titles related to Remote Python Gis jobs in Mississippi? For Remote Python Gis jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Remote Python Gis jobs in Mississippi look for? The top searched job categories for Remote Python Gis jobs in Mississippi are:
What cities in Mississippi are hiring for Remote Python Gis jobs? Cities in Mississippi with the most Remote Python Gis job openings:
Remote Python Gis jobs near you
Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

University of Mississippi

Oxford, MS • On-site, Remote

Full-time

Posted 3 days ago

New

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

182nd of 555 rated colleges and universities

Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Job Summary:

This position focuses on developing and maintaining computational and geospatial technologies that support agricultural watershed science, water quality assessment, dam-break flood modeling, risk evaluation, and emergency planning. The role emphasizes building decision-support systems and web-based tools, managing large environmental datasets, and enabling data-driven environmental management through advanced modeling, software engineering, and GIS/remote sensing workflows.
It also includes supporting high-performance and Linux-based research computing environments, contributing to scientific communication (journal articles, technical reports, and conference presentations), and collaborating with interdisciplinary teams and stakeholders. In addition, the role supports grant proposal development and may include leading external research efforts.

Job Description:

Essential Duties/ Responsibilities:
  • Develop computational models, software tools, and web-based decision support systems for agricultural watershed processes, water quality assessment, dam-break flood modeling, risk assessment, and emergency planning.
  • Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
  • Design, develop, and maintain geospatial databases, web mapping applications, decision-support systems, and cloud- or cluster-based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
  • Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
  • Support high-performance computing, Linux-based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data-intensive research.
  • Participate in and lead external research grant proposal development.
  • Participate in and lead peer-reviewed journal publications, technical reports, and scientific conference presentations.
  • Collaborate with interdisciplinary teams of scientists, engineers, and stakeholders to develop innovative solutions for water resources and environmental management challenges.

Job Responsibilities:

Preferred Experience, Knowledge, Skills & Abilities:
  • Experience in developing computational models, decision-support systems, and web-based tools for hydrologic, hydraulic, watershed, water quality, and environmental management.
  • Experience in scientific programming (e.g., FORTRAN, C++, Python, R), software development, computer systems, and computational infrastructure for environmental and geospatial applications..
  • Experience in geospatial analysis and environmental data management using GIS, remote sensing, spatial databases, and web-based geospatial technologies.
  • Experience with database design, administration, and optimization, including PostgreSQL/PostGIS and large-scale spatial data processing.
  • Experience in developing and deploying geospatial web services, map servers, and cloud- or cluster-based computing environments for environmental modeling and visualization.
  • Experience with Linux system administration, high-performance computing (HPC), virtualization, automation, and research computing infrastructure.
  • Excellent oral, written, and presentation skills (both technical and non-technical).
  • Experience in AIMS and/or DSS-WISE modeling and decision support systems is preferred.
Education:
  • Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.

* This position is fully or partially funded by external research grants. Continued employment is contingent upon satisfactory performance and the ongoing availability of funding.


** Applicants are requested to attach a Resume/CV with their application.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

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