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Geospatial Data Scientist Jobs in Naperville, IL

... Data Scientist to join our team ... In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ...

We leverage geospatial, demographic, and economic data, as well as advanced analytics to evaluate ... The individual needs to be passionate about the application of data science to drive business ...

We leverage geospatial, demographic, and economic data, as well as advanced analytics to evaluate ... The individual needs to be passionate about the application of data science to drive business ...

Support integration of climate science and emerging research into catastrophe risk analytics ... Experience working with geospatial data and tools (e.g., GIS, QGIS, ArcGIS). * Familiarity with ...

Bachelors in computer-science-related field * Strong quantitative, analytical, and problem-solving ... Experience working with geospatial data * Experience working with Docker-based software

Bachelors in computer-science-related field * Strong quantitative, analytical, and problem-solving ... Experience working with geospatial data * Experience working with Docker-based software

Bachelors in computer-science-related field * Strong quantitative, analytical, and problem-solving ... Experience working with geospatial data * Experience working with Docker-based software

Senior Robotics Engineer

Chicago, IL · On-site

$90 - $120/hr

Bachelors in computer-science or robotics related field * Strong quantitative, analytical, and ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 6+ ...

Bachelors in computer-science or robotics related field * Strong quantitative, analytical, and ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 5+ ...

Senior Robotics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Bachelors in computer-science or robotics related field * Strong quantitative, analytical, and ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 6+ ...

Robotics Engineer

Chicago, IL · On-site

$80 - $120/hr

Bachelors in computer-science or robotics related field * Strong quantitative, analytical, and ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 5+ ...

Bachelors in computer-science or robotics related field * Strong quantitative, analytical, and ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 5+ ...

Senior Robotics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Bachelors in computer-science or robotics related field * Strong quantitative, analytical, and ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 6+ ...

Senior Robotics Engineer

Chicago, IL · On-site

$107K - $147K/yr

Bachelors in computer-science or robotics related field * Strong quantitative, analytical, and ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 6+ ...

Bachelors in computer-science or robotics related field * Strong quantitative, analytical, and ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 5+ ...

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Showing results 1-20

Geospatial Data Scientist information

See Naperville, IL salary details

$37.4K

$122.6K

$196.2K

How much do geospatial data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for geospatial data scientist in Naperville, IL is $122,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

What are popular job titles related to Geospatial Data Scientist jobs in Naperville, IL?

For Geospatial Data Scientist jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Naperville, IL look for?

The top searched job categories for Geospatial Data Scientist jobs in Naperville, IL are:

Infographic showing various Geospatial Data Scientist job openings in Naperville, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,556 per year, or $58.9 per hour.

Data Scientist

SageSure

Chicago, IL • On-site

Full-time

Posted 10 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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