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What are GIS Machine Learning jobs?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are some common challenges faced when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

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

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What are popular job titles related to Gis Machine Learning jobs in Minnesota? For Gis Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Minnesota look for? The top searched job categories for Gis Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Gis Machine Learning jobs? Cities in Minnesota with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you
Infographic showing various Gis Machine Learning job openings in Minnesota as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
GIS Solution Engineer - Geo Experience Center

GIS Solution Engineer - Geo Experience Center

Esri

Minneapolis, MN • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
Esri is a leading company in GIS technology, dedicated to helping customers succeed. The GIS Solution Engineer will act as a subject matter expert, providing innovative solutions and demonstrating the value of GIS to address complex business challenges.
Responsibilities:
• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the Geo Experience team. Support your team as you help plan and execute sales strategies.
• Be an expert. Become a subject matter expert of various industries as well as a technical expert of ArcGIS. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for your customers anticipating their needs and the technology trends that may impact them.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver strategies to customers that align Esri technology with their business.
• Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non-technical customers. Provide best practices related to the use, deployment, and administration of Esri technology. Present at conferences and trade shows.
Qualifications:
Required:
• 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 1+ years of experience in various industries
• Programming and scripting experience with languages such as Python and JavaScript
• Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Remarkable presentation, interpersonal, and listening skills
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, GIS, computer science, engineering, mathematics, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S
Preferred:
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Basic understanding of artificial intelligence/machine learning concepts
• Familiarity with modern JavaScript frameworks (such as React), version control, and CI/CD workflows is a plus
• Familiarity with WebGL
• Excellent creative thinking and communication skills
• Design and cartography experience
• Master’s degree in geography, GIS, computer science, engineering, mathematics or a related field
Company:
Esri is a software company that devolops geographic information system software, location intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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