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Machine Learning Geospatial Jobs in Illinois (NOW HIRING)

SageSure Insurance Managers

Data Scientist

Chicago, IL · On-site

In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges. You will develop ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

... Science, AI, Machine Learning, or related field. - 3-5 years of experience in deep learning ... geospatial tooling, or synthetic-data production flows - Experience with Unreal Engine or related ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

... Science, AI, Machine Learning, or related field. - 3-5 years of experience in deep learning ... geospatial tooling, or synthetic-data production flows - Experience with Unreal Engine or related ...

HERE Technologies

Sr. Software Engineer

Chicago, IL

$130K - $140K/yr

... Science, AI, Machine Learning, or related field.- 3-5 years of experience in deep learning ... geospatial tooling, or synthetic-data production flows- Experience with Unreal Engine or related ...

Motorola

Senior DevOps Engineer (US REMOTE)

Chicago, IL · Remote

$140K - $170K/yr

The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Motorola

Senior DevOps Engineer (US REMOTE)

Schaumburg, IL · Remote

$140K - $170K/yr

The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Leidos

Data Scientist - Mid Level active TS/SCI

Dupo, IL · On-site

$59K - $106K/yr

Provide data management and automation support to a specialized imagery and geospatial analysis ... machine learning algorithms. * Active TS/SCI with willingness to be approved for a Polygraph

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Showing results 21-40

All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in Illinois

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 are popular job titles related to Machine Learning Geospatial jobs in Illinois?

For Machine Learning Geospatial jobs in Illinois, the most frequently searched job titles are:

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

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

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

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

Machine Learning Geospatial jobs near you
Infographic showing various Machine Learning Geospatial job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 58% Full Time, 34% Part Time, 1% Temporary, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

SageSure Insurance Managers

Chicago, IL • On-site

Other

Posted 4 days ago

Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.
You will develop scalable analytical tools, leverage spatial, property, policy and claims data, automate complex workflows, and work within a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management - to support profitable growth.
The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques.
What you'd be doing:
  • Deliver analytical insights that support business decisions as a member of a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management.
  • Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management.
  • Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities.
  • Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency.
  • Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems.
  • Support building software applications and analytical tools that automate underwriting and risk analysis.
  • Build reusable data pipelines and automate data collection, cleansing, transformation, to support underwriting, product development and risk management.
  • Design and maintain geospatial datasets using internal and third-party data sources.
  • Develop software applications and APIs that support underwriting analytics and business decision making.
  • Mentor junior team members and promote best practices for AI use within the department.
  • Perform other duties and special projects as assigned

We are looking for someone who has:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline.
  • 5 to 7 years of experience in data science, analytics, software development, or geospatial analytics.
  • Experience with statistical modeling techniques and building predictive models using Python, SAS or R, and strong statistical modeling techniques
  • Experience developing solutions using SQL and relational databases.
  • Experience working with large structured and unstructured datasets.
  • Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies.
  • Experience developing automated data processing and analytical workflows.
  • Experience building software applications or analytical tools that support business operations.
  • Strong problem-solving and communication skills

Highly preferred candidates also have:
  • Experience in Property & Casualty insurance.
  • Familiarity with catastrophe models and exposure management.
  • Experience with geospatial statistics and spatial modeling.
  • Experience with AI and Generative AI technologies.
  • Experience with C#, .NET, or software engineering principles.

About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
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