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Machine Learning Geospatial Jobs in Missouri (NOW HIRING)

Navstar

Junior/Mid Software Engineer

Saint Louis, MO · On-site

... machine learning, and data visualization techniques. Be part of our agile team and shape the future of geospatial technology. Responsibilities * Take ownership of the application, including the user ...

Esri

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping * Keep up to date with the latest technology ...

LaunchCode

Software Engineer (TS/SCI)

Saint Louis, MO · On-site

$100K - $140K/yr

Knowledge of geospatial technologies and data visualization techniques * Experience with DevOps practices and CI/CD pipelines * Familiarity with data modeling, machine learning, or AI concepts

Ztek Consulting

Sr. Developer

Saint Louis, MO · On-site

$55.75 - $71/hr

Job Summary: We are seeking a highly skilled GeoSpatial Sr. Developer with expertise in Java to ... talent, machine learning algorithms, and artificial intelligence to provide customized talent ...

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All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in Missouri

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 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 the key skills and qualifications needed to thrive as a Machine Learning Geospatial specialist, and why are they important?

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 job categories do people searching Machine Learning Geospatial jobs in Missouri look for? The top searched job categories for Machine Learning Geospatial jobs in Missouri are:
What cities in Missouri are hiring for Machine Learning Geospatial jobs? Cities in Missouri with the most Machine Learning Geospatial job openings:
Machine Learning Geospatial jobs near you
Software Engineer

Software Engineer

Reinventing Geospatial, Inc. (RGi)

Saint Louis, MO • On-site

$115K - $170K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 3 days ago

Job description

Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS.
We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one.
Our culture is defined and anchored by three pillars:
Energy: We bring passion, purpose, and urgency to our work.
Edge: We take initiative, embrace growth, and step outside our comfort zone.
Execution: We get things done smartly, decisively, and with real results.
If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team.
Clearance:
Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph
US Citizenship Required
*This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration.
As a Software Engineer, you will...
  • Contribute to the design, development, testing and integration of new capabilities from an idea to production across a complex system
  • Integrate capabilities from different systems across the enterprise while the needs of users and stakeholders are met
  • Participate in daily standups, sprint and release planning activities, and coordinate with other team members (systems engineer, systems administrator, tester, etc.) to accomplish the tasks outlined in user stories
  • Write or contribute to documentation and end-user instructions/manuals, as necessary

Software Engineer Qualifications...
  • Associate's or Bachelor's Degree in Computer Science or related field
  • 5+ years of experience in software development with experience in all phases of the software development lifecycle (analysis, design, development, testing, deployment, maintenance)
  • Demonstrated experience developing with modern languages such as: Python, Ruby, Clojure, Java, JavaScript, etc.
  • Experience designing, developing, documenting, testing, and debugging software that contains logical and mathematical solutions to problems
  • Demonstrated experience using rapid prototyping and Agile based software development methodologies
  • GEOINT/SIGINT/IMINT domain knowledge

Additional Skills We'd Like to See:
  • Understanding of machine learning concepts
  • Experience with development in microservice based architectures
  • Understanding of web application development concepts and experience using web frameworks
  • Experience with container technologies and orchestration such as Docker, Docker Compose, Kubernetes, etc.
  • Experience with continuous integration and software CM processes / tools (Git, GitLab, GitLab CI, Jenkins, JIRA, Confluence)
  • AWS experience and/or AWS certification (Developer, DevOps and/or, Architect, etc.)
  • Security+ Certification
  • Highly preferred to have Python programming language experience

$115,000 - $170,000 a year
Salary Range: $115,000 - $170,000
Salary is commensurate with experience.
Who we are:
Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts.
We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including:
• 100% paid employee healthcare & dental insurance
• Paid parental leave
• 401k with matching
• Escalating vacation time
• Referral bonuses
• Tuition reimbursement
• Professional development training
• Free beverages and snacks
• Weekly catered lunches and breakfast on Fridays
Grow to be our next leader:
At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee.
Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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