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Geospatial Ai Jobs in Minnesota (NOW HIRING)

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The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

Socket.dev

Senior Data Scientist

Virginia, MN · On-site

$131.30 - $237.35/hr

... geospatial analytics platforms. * Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric ...

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Geospatial Ai information

What are the key skills and qualifications needed to thrive as a geospatial AI specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

How do geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.
What are popular job titles related to Geospatial Ai jobs in Minnesota? For Geospatial Ai jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Geospatial Ai jobs in Minnesota look for? The top searched job categories for Geospatial Ai jobs in Minnesota are:
Geospatial Ai jobs near you
Infographic showing various Geospatial Ai job openings in Minnesota as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Senior GIS Technologist

Indigo Beam Consulting

Houston, MN • On-site

Full-time

Re-posted 19 days ago

Job description


Job Title: Senior GIS Technologist
Location: Houston - 3 days a week on sight downtown (Monday, Tuesday, Thursday)
Travel : Must be able to travel a few times per year (less than 10%)
Employment Type: W2 Full-Time or Contract for a year
The Senior GIS Technologist is responsible for the overall health of a GIS technical solution or specific components of the solution, acts as the Esri Enterprise implementation team lead, and provides the physical implementation definition. Typically an Esri ArcSDE specialist and is an expert in geospatial data: imagery, spatial data management, design and modeling.Depth in GIS best practices and principles, Esri Enterprise installation / configuration / performance tuning / administration on prem and in the Cloud. Esri ArcGIS suite including ArcGIS Desktop and ArcGIS Pro, ArcSDE, ArcGIS Server, ArcGIS Online, Velocity, Portal for ArcGIS, Experience Builder, Python and FME Form and Flow. Skills with generative AI for Python acceleration a must.
Responsibilities:
  • Gathering and analyzing geospatial requirements
  • Produces and implements technical solution configuration and components
  • Conducts technology evaluations
  • Produces and implements geospatial data management strategies
  • Implements aspects of the physical design
  • Installs, configures and optimizes Enterprise GIS on prem, in AWS, and in Azure
  • Administers and troubleshoots Enterprise GIS
  • Oversees the translation of design into deliverables via implementation and deployment

Requirements
  • Experience leading Esri Enterprise implementations
  • Ability to define the physical implementation of the solution
  • Strong expertise in Esri ArcSDE
  • Expert-level knowledge of geospatial data, including imagery, spatial data management, design, and modeling
  • Strong understanding of GIS best practices and principles
  • Hands-on experience with Esri Enterprise installation, configuration, performance tuning, and administration
  • Experience working in both on-premises and cloud environments
  • Strong experience with the Esri ArcGIS suite, including:
    • ArcGIS Desktop
    • ArcGIS Pro
    • ArcSDE
    • ArcGIS Server
    • ArcGIS Online
    • Velocity
    • Portal for ArcGIS
    • Experience Builder
  • Strong skills in Python
  • Experience with FME Form and FME Flow
  • Skills with generative AI for Python acceleration

§Strongly Desired Experience:
oPractical experience in Agile project delivery methodology including the Scrum process framework with sprint-based project cycles
oDomain knowledge of GIS in Oil & Gas, Utility, Renewables, Engineering or Public Sector organizations
Benefits

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