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Geospatial Data Scientist Jobs in Missouri (NOW HIRING)

NV5

Geospatial Database Administrator

Saint Louis, MO · On-site

Geospatial Data Administration: * Work with Data Manager to develop and execute complex spatial ... Bachelor's degree in GIS, Geography, Computer Science, or a related field. * Equivalent experience ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team, the Data Scientist's expertise is ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team, the Data Scientist's expertise is ...

GRVTY

Data Scientist, Expert

Arnold, MO

This position serves as the technical POC for services requiring specialized expertise in geospatial data analysis, automation, and system administration. What You'll be Owning * Develop and ...

GRVTY

Data Scientist, Mid

Arnold, MO

This position performs services requiring specialized expertise in geospatial data analysis, automation, data management and system administration. Supports a variety of data issues to include ...

Esri

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to ... Implement best practices and patterns for geospatial machine learning and develop reusable ...

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All JobsGeospatial Data Scientist JobsGeospatial Data Scientist Jobs in Missouri

Geospatial Data Scientist information

See Missouri salary details

$35.2K

$115.1K

$184.3K

How much do geospatial data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for geospatial data scientist in Missouri is $115,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 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 the most commonly searched types of Geospatial Data Scientist jobs in Missouri?

The most popular types of Geospatial Data Scientist jobs in Missouri are:

What are popular job titles related to Geospatial Data Scientist jobs in Missouri?

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

What job categories do people searching Geospatial Data Scientist jobs in Missouri look for?

The top searched job categories for Geospatial Data Scientist jobs in Missouri are:

What cities in Missouri are hiring for Geospatial Data Scientist jobs?

Cities in Missouri with the most Geospatial Data Scientist job openings:

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

GEOINT Data Scientist (TS/SCI)

Xcellent Technology Solutions

Saint Louis, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Some problems don’t need more data, they need clarity. At the National Geospatial-Intelligence Agency (NGA) Office of Eurasia, leadership is routinely asked to prioritize, assess risk, and allocate resources against complex and evolving challenges. The GEOINT data behind those decisions is rich but is not always structured to answer the question being asked. It may be binary in one place, tiered in another, legacy in a third. It may have been built for a different requirement at a different time.
This is an exciting opportunity to join us as a Geospatial Data Scientist to support NGA and bring structure, transparency, and defensibility to complex analytic problems! Looked upon your expertise to design, refine, and operationalize analytic models that bring consistency and transparency to mission analysis. From structing complex GEOINT attributes into measurable, defensible scoring frameworks, to replacing manual or legacy analytic processes with automated, repeatable workflows. You’ll work directly with analysts and branch leadership to ensure models reflect real mission needs and ensure transparency. Tradecraft integrity and methodological rigor in every product. If you’re passionate about bringing structure where there is inconsistency, and clarity where there are interpretations, join XTS today!
Requirements
  • Current active Top Secret / SCI clearance with the ability to obtain CI poly.
  • You have achieved a Master’s degree + 5 years / Bachelor’s degree + 7 years / Associate’s degree + 8 years / 10+ years of relevant experience
  • You have gained strong proficiency in Python and SQL to support in extracting, transforming, and structuring large, complex datasets.
  • Familiarity with ArcGIS or similar geospatial tools to assist in model integration effectively with existing analytic platforms.
  • Experience automating workflows and building dashboards to ensure repeatability.
  • Understanding of GEOINT standards and tradecraft to ensure analytic integrity and confidence in outputs.
  • Experience building defensible analytic models in order to articulate how inputs become outputs and ensure the scoring logic can withstand scrutiny.

If you are motivated by applying technical expertise to real operational challenges, and building system systems that improve how decisions are made, please send your resume directly to Lanchi Lai at Lanchi.Lai@xts-inc.com
At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.
 

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