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Machine Learning Geospatial Jobs in Wisconsin (NOW HIRING)

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Incorporate geospatial data into dashboards and analytical workflows where appropriate * Ensure ... machine learning, and data mining * Documents approaches to address research questions and ...

Data Scientist II

Madison, WI · On-site

$72 - $88/hr

Incorporate geospatial data into dashboards and analytical workflows where appropriate * Ensure ... machine learning, and data mining * Documents approaches to address research questions and ...

New

WI · On-site

$115 - $149/hr

Identify opportunities to leverage AI, predictive analytics, machine learning, and emerging ... Experience building products leveraging geospatial data, predictive models, customer segmentation ...

Machine Learning Geospatial information

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

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

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

What job categories do people searching Machine Learning Geospatial jobs in Wisconsin look for?

The top searched job categories for Machine Learning Geospatial jobs in Wisconsin are:

What cities in Wisconsin are hiring for Machine Learning Geospatial jobs?

Cities in Wisconsin with the most Machine Learning Geospatial job openings:

Pathways Intern: Geospatial Data Technician

Wisconsin

Stevens Point, WI

$18/hr

Part-time

Posted 6 days ago


Job description

Current Students: If you are currently employed or enrolled as a student at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Workday Internal Jobs Site for StudentsPosition Title:Pathways Intern: Geospatial Data TechnicianJob Category:Student HourlyJob Profile:Student HelpJob Summary:Job Summary

Position Title: Geospatial Data Technician Intern
Department: Geography and Geology
Supervisor: Lisa Siewert, Instructional Supervisor
Location: UW-Stevens Point
Type: Pathways Internship, 2026-27 Academic Year
Compensation: $18.00/hour, approximately 8-10 hours per week


Are you interested in GIS and looking for an opportunity to build professional experience while working on a real-world mapping project?


The Geospatial Data Technician Intern will help transform the official Geologic Map of Wisconsin into a modern GIS dataset for public and educational use. Working primarily in ArcGIS Pro, the intern will digitize geologic formations, create and edit spatial data, check the dataset for errors, and help prepare it for eventual publication through GeoData@Wisconsin.


This internship provides an opportunity to take GIS skills learned in the classroom and apply them to a large-scale professional project. The completed dataset may also support educational mapping projects, including the Ice Age Trail Educator Geologic Map.


Primary Responsibilities
  • Digitize geologic formations in ArcGIS Pro using heads-up digitizing techniques.
  • Create and edit polygon features representing Wisconsin's bedrock formations.
  • Apply topology rules and identify and correct gaps, overlaps, and other spatial errors.
  • Attribute features using standardized geologic unit codes and descriptions.
  • Maintain consistent symbology and organized GIS data.
  • Assist with creating metadata for the completed dataset.
  • Conduct regular quality assurance and quality control (QA/QC) checks.
  • Prepare completed GIS data for eventual submission to GeoData@Wisconsin.
  • Maintain organized project files and documentation.
  • Meet weekly with the faculty supervisor to review progress, troubleshoot challenges, and establish upcoming project goals.
  • Communicate questions, challenges, and ideas for improving project workflows.

Preferred Qualifications
  • Junior or senior standing in Geospatial Sciences or a related field.
  • Coursework or demonstrated experience using ArcGIS Pro.
  • Strong attention to detail and spatial reasoning skills.
  • Ability to work independently and make consistent progress toward project goals.
  • Comfort completing detailed digitization and data-editing tasks.
  • Interest in GIS, cartography, geography, geology, or related fields.
  • Commitment to producing accurate, high-quality geospatial data.

Pathways Internship EligibilityApplicants must:
  • Be in good academic standing.
  • Be enrolled in 12 or more undergraduate credits during each participating term.
  • Have a cumulative GPA of 2.5 or higher.

Skills Gained Through the Internship
  • Professional experience using ArcGIS Pro.
  • Geospatial data creation and editing.
  • Heads-up digitizing and feature attribution.
  • GIS topology and spatial error correction.
  • Quality assurance and quality control (QA/QC).
  • Metadata creation and data documentation.
  • Geospatial data management and publication workflows.
  • Project management and professional communication.
  • Experience contributing to a large-scale GIS project that can be discussed with future employers.

Learning Outcomes

LO1 - Geospatial Data Creation and Editing

The intern will apply ArcGIS Pro tools and professional digitizing techniques to create accurate vector data from an existing georeferenced geologic map.

LO2 - Data Quality and Topology

The intern will apply topology and QA/QC procedures to identify, evaluate, and correct spatial and attribute errors within a GIS dataset.

LO3 - Geospatial Data Management

The intern will organize GIS files, attributes, symbology, and metadata using consistent professional data-management practices.

LO4 - Professional Communication and Project Management

The intern will communicate project progress, identify challenges, respond to feedback, and manage weekly project milestones through regular meetings with the faculty supervisor.

LO5 - Professional Development

The intern will develop two individualized professional development goals with the faculty supervisor and reflect on how the knowledge and skills gained through the internship can support future GIS-related career opportunities.

Key Job Responsibilities:Special Notes:

Through the discovery and dissemination of knowledge, UW-Stevens Point stimulates intellectual growth, provides a liberal education, and prepares students for a diverse sustainable world. The university is committed to creating a safe, inclusive learning community for all faculty and staff from a variety of backgrounds. Visit https://www.uwsp.edu/join-uw-stevens-point/ for more information about UW-Stevens Point. To learn about the Stevens Point (aka Point) area fun, jobs, housing, education, quality of life, and bragging rights, visit www.stevenspointarea.com.

Individuals with disabilities who need a reasonable accommodation during the application or interview process should contact Human Resources and Affirmative Action at 715-346-2606 or hr@uwsp.edu.

The safety and success of students, faculty, and staff at the University of Wisconsin-Stevens Point is paramount. The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act requires the distribution of an annual security report to all current and prospective students, faculty, and staff. You may obtain the complete report at https://www3.uwsp.edu/protsv/Pages/Clery.aspx

The University of Wisconsin-Stevens Point will not reveal the identities of applicants who request confidentiality in writing, except the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

An offer of employment will require a criminal background check and authorization to work within the United States as required by the Immigration Reform and Control Act of 1986.

UW is an Equal Opportunity Employer:


Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.