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Machine Learning Geospatial Jobs in Dardenne Prairie, MO

Intellectix

Data Scientist

Saint Louis, MO · On-site

This position supports the Geospatial Services & Solutions business area to provide high-quality ... Build predictive models and machine learning algorithms. * Combine models through ensemble modeling.

Intellectix

Data Scientist

Saint Louis, MO · On-site

This position supports the Geospatial Services & Solutions business area to provide high-quality ... Build predictive models and machine learning algorithms. * Combine models through ensemble modeling.

GRVTY

Senior Data Scientist

Saint Louis, MO

Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be ... Experience applying machine learning or artificial intelligence techniques to intelligence problems.

GRVTY

Senior Data Scientist

Saint Louis, MO

Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be ... Experience applying machine learning or artificial intelligence techniques to intelligence problems.

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be ... Experience applying machine learning or artificial intelligence techniques to intelligence problems.

GRVTY

Imagery Scientist (SAR)- Expert

Saint Louis, MO

$180K - $210K/yr

Geospatial intelligence methodologies * Proven ability to communicate technical concepts to ... Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address ...

Leidos

Data Scientist - Mid Level active TS/SCI

Fenton, MO · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

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

Leidos

Data Scientist - Mid Level active TS/SCI

Saint Ann, MO · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

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

Leidos

Data Scientist - Mid Level active TS/SCI

Bridgeton, MO · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

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

Leidos

Data Scientist - Mid Level active TS/SCI

Ballwin, MO · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

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

Leidos

Data Scientist - Mid Level active TS/SCI

Hazelwood, MO · On-site

$59K - $106K/yr

  • Medical

  • Retirement

  • PTO

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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All JobsMachine Learning Geospatial JobsMachine Learning Geospatial Jobs in Dardenne Prairie, MO

Machine Learning Geospatial information

See Dardenne Prairie, MO salary details

$17

$27

$43

How much do machine learning geospatial jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine learning geospatial in Dardenne Prairie, MO is $27.02, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $31.44 per hour, depending on experience, location, and employer.

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 cities near Dardenne Prairie, MO are hiring for Machine Learning Geospatial jobs?

Cities near Dardenne Prairie, MO with the most Machine Learning Geospatial job openings:

Machine Learning Geospatial jobs near you
Infographic showing various Machine Learning Geospatial job openings in Dardenne Prairie, MO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $56,204 per year, or $27 per hour.

Data Scientist - Mid Level active TS/SCI

Via Logic LLC

Saint Louis, MO • On-site

$90 - $130/hr

Other

Posted 7 days ago

Job description

Leidos is actively seeking a Data Scientist to join our growing team in St. Louis, MO. This role requires a basic understanding of GEOINT integration work and experiences as a Data Scientist for NGA, encompassing collection, exploitation, analysis, and product delivery capabilities.

Primary Responsibilities
  • Provide data management and automation support to a specialized imagery and geospatial analysis division within a government or enterprise organization.
  • Assist with developing a modernized data management workflow supporting multiple organizational programs.
  • Collaborate with senior data scientists, database developers, and analysts to implement and sustain updated database processes and workflows.
  • Research and document existing data management practices, procedures, and system dependencies.
  • Help design improved workflows with automation incorporated from the outset.
  • Ensure new workflows integrate effectively with modern database applications and enterprise-level application programming interfaces.
  • Enhance existing models and simulations involving production, monitoring, and change-detection data.
  • Support additional data management and modernization initiatives as required.
  • Develop code and scripts, including the conversion of legacy applications written in multiple programming languages into Python-based solutions.
  • Implement enterprise database management standards, processes, and controls.
  • Automate repetitive data preparation, validation, transformation, and reporting tasks.
  • Deliver technical solutions that apply industry best practices to modernize existing operational processes.
  • Conduct data investigations using applied statistics, algorithm development, and collaboration with subject‑matter experts.
  • Translate complex analytical findings and operational realities into clear explanations for non‑technical audiences.
  • Create visualizations and dashboards from diverse data sources that are accessible and understandable to non‑technical users.
Basic Qualifications
  • 3-6 years’ experience in programming languages such as Python or R (statistical analysis), data preprocessing, and basic machine learning algorithms.
  • Active TS/SCI with willingness to be approved for a Polygraph.
  • Bachelor’s Degree in a related field (additional years of experience can be considered in lieu of a degree).
  • Working knowledge of ArcGIS, ArcSDE, ArcPro.
  • Familiarity with common data science libraries and frameworks, plus:
    • PostgreSQL, PostGIS, pgAdmin.
    • Application programming interfaces (APIs).
Preferred Qualifications
  • Experience with workflow management systems, such as Flowable.
  • Working knowledge of MapInfo/MapBasic GIS/database software.
  • Experience with data visualization software such as Tableau.
Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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