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Gis Machine Learning Jobs in Madison, WI (NOW HIRING)

Data Scientist II

Madison, WI · On-site +1

$80K/yr

... machine learning, and data mining Department: School of Medicine and Public Health, Office of ... Experience working with geographic information systems (GIS) and spatial data * Ability to design ...

Gis Machine Learning information

See Madison, WI salary details

$14

$28

$48

How much do gis machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for gis machine learning in Madison, WI is $28.74, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $33.89 per hour, depending on experience, location, and employer.

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 Madison, WI? For Gis Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What cities near Madison, WI are hiring for Gis Machine Learning jobs? Cities near Madison, WI with the most Gis Machine Learning job openings:

Data Scientist II

Wisconsin

Madison, WI • On-site, Remote

$80K/yr

Full-time

Retirement, PTO

Posted 10 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:Academic StaffEmployment Type:Terminal (Fixed Term)Job Profile:Data Scientist IIJob Summary:

The Office of Informatics is seeking an outstanding candidate for a Data Scientist II position to support research related data needs. The Data Scientist II will design, develop, and maintain data pipelines, data models, and analytical tools to support research and decision-making across multiple stakeholder groups. This role works collaboratively with researchers, analysts, and operational partners to transform complex data into accessible, actionable insights, including geospatial data and visualizations. The Data Engineer II will leverage Power BI, SQL, Python, and GIS tools to build scalable data solutions, create engaging dashboards and maps, and enable efficient data access for research and operational use cases.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.

Key Job Responsibilities:
  • Organizes and automates project steps for data preparation and analysis
  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
  • Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
Department:

School of Medicine and Public Health, Office of Informatics, Research Data Services.

Compensation:

The starting salary for the position is $80,000 annually; but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage. SMPH Faculty /Academic Staff Benefits Flyer 2026

Required Qualifications:
  • Experience developing dashboards for multiple stakeholders
  • Experience writing complex SQL queries for data extraction and transformation
  • Experience using Python for data processing, scripting, or automation
  • Demonstrated ability to translate business needs into data visualizations
  • Strong analytical, problem-solving, and communication skills
Preferred Qualifications:
  • Professional experience developing Power BI or Tableau dashboards
  • Experience with data modeling concepts (star schema, dimensional modeling)
  • Familiarity with data warehousing platforms (e.g., Snowflake, Redshift, Azure Synapse)
  • Experience with Power BI Service, including publishing and governance
  • Knowledge of data governance, security, and best practices
  • Experience working in a collaborative or matrixed environment
  • Experience working with geographic information systems (GIS) and spatial data
  • Ability to design and create engaging, user-friendly maps and geospatial visualizations for research and operational use cases
Education:

Master's degree preferred;

How to Apply:

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.
Cover letter (required)
Resume (required)

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is currently scheduled to endafter 12 monthsand will require eligibility to work until that time.If you are selected for this position you must provide proof of work authorization and eligibility to work.

Contact Information:

Cody Roekle, croekle@wisc.edu608-263-7676

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.