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Gis Machine Learning Jobs in Illinois (NOW HIRING)

SageSure

Data Scientist

Chicago, IL · On-site

In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ... Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent ...

New

Here

Sr Data Scientist

Chicago, IL · On-site

$105 - $149/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This involves deploying statistical and analytic methods, measurements, and machine learning models ... Knowledge and experience with using GIS tools for spatial data analysis * Experience with ...

HERE Technologies

Sr Data Scientist

Chicago, IL · On-site

$104K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This involves deploying statistical and analytic methods, measurements, and machine learning models ... Knowledge and experience with using GIS tools for spatial data analysis * Experience with ...

HERE Technologies

Sr Data Scientist

Chicago, IL · On-site

$104K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This involves deploying statistical and analytic methods, measurements, and machine learning models ... Knowledge and experience with using GIS tools for spatial data analysis * Experience with ...

HERE Technologies

Sr Data Scientist

Chicago, IL

$104K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This involves deploying statistical and analytic methods, measurements, and machine learning models ... Knowledge and experience with using GIS tools for spatial data analysis * Experience with ...

Guidehouse

Data Scientist, Consultant (Utilities)

Chicago, IL

$89K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... BI, GIS, and other modern analytics platforms to address complex client business challenges ... Experience with cloud-based analytics platforms, data engineering, AI, machine learning, geospatial ...

Leidos

Data Scientist - Mid Level active TS/SCI

Edwardsville, IL · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

... machine learning algorithms. * Active TS/SCI with willingness to be approved for a Polygraph ... Working knowledge of MapInfo/ MapBasic GIS/ database software * Experience with data visualization ...

Leidos

Data Scientist - Mid Level active TS/SCI

Caseyville, IL · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

... machine learning algorithms. * Active TS/SCI with willingness to be approved for a Polygraph ... Working knowledge of MapInfo/ MapBasic GIS/ database software * Experience with data visualization ...

Syngenta

Data Scientist - Environment and Disease Modeling

IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... variables, GIS tools, remote sensing products, or spatial interpolation methods * Proficiency in statistical and machine learning modeling, including mixed models, survival analysis, or ...

Leidos

Data Scientist - Mid Level active TS/SCI

Glen Carbon, IL · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

... machine learning algorithms. * Active TS/SCI with willingness to be approved for a Polygraph ... Working knowledge of MapInfo/ MapBasic GIS/ database software * Experience with data visualization ...

Leidos

Data Scientist - Mid Level active TS/SCI

Venice, IL · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

... machine learning algorithms. * Active TS/SCI with willingness to be approved for a Polygraph ... Working knowledge of MapInfo/ MapBasic GIS/ database software * Experience with data visualization ...

Leidos

Data Scientist - Mid Level active TS/SCI

Madison, IL · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

... machine learning algorithms. * Active TS/SCI with willingness to be approved for a Polygraph ... Working knowledge of MapInfo/ MapBasic GIS/ database software * Experience with data visualization ...

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All JobsGis Machine Learning JobsGis Machine Learning Jobs in Illinois

Gis Machine Learning information

What is a GIS Machine Learning job?

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 common challenges 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 Illinois? For Gis Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Illinois look for? The top searched job categories for Gis Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Gis Machine Learning jobs? Cities in Illinois with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you

Data Scientist

SageSure

Chicago, IL • On-site

Full-time

Posted 2 days ago

New

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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