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Geospatial Data Science Intern Jobs (NOW HIRING)

Cresta

Data Science Intern (Customer Success)

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making.

BAE Systems

Data Scientist Prin

Augusta, GA · On-site

$107K - $182K/yr

... geospatial data processing, and general intelligence analysis. The candidate must possess familiarity in GEOINT operations and extensive knowledge in data science to be considered. Required Skills ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

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How much do geospatial data science intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for geospatial data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects or tasks can a geospatial data science intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

What is a geospatial data science intern?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

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

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

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Geospatial Data Science Intern jobs near you
Infographic showing various Geospatial Data Science Intern job openings in the United States as of August 2026, with employment types broken down into 26% Internship, 61% Full Time, 9% Part Time, and 4% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Geospatial Senior Subject Matter Expert

Electrosoft

Arlington, VA • On-site

Full-time

Posted 7 days ago

Job description

Geospatial Senior Subject Matter Expert

Responsibilities and Duties

  • Serve as the senior technical authority and trusted advisor for Geospatial Support programs, initiatives, and enterprise capabilities.
  • Provide strategic guidance and subject matter expertise on geospatial technologies, Geographic Information Systems (GIS), geospatial analytics, and location-based data services.
  • Advise program leadership, stakeholders, and technical teams on geospatial strategies, modernization efforts, and technology roadmaps.
  • Lead the assessment, planning, and implementation of geospatial solutions supporting mission and operational objectives.
  • Evaluate existing geospatial systems, applications, and business processes and recommend improvements that enhance operational efficiency and decision-making.
  • Support the integration of geospatial capabilities with enterprise applications, cloud platforms, data repositories, and analytic environments.
  • Provide expertise in geospatial data management, data governance, metadata standards, and data quality assurance practices.
  • Guide the development and implementation of geospatial architecture, technical standards, and best practices.
  • Support the design and deployment of geospatial visualization tools, dashboards, maps, and reporting capabilities.
  • Collaborate with business stakeholders, engineers, developers, data analysts, and program managers to ensure alignment between geospatial solutions and mission requirements.
  • Support enterprise modernization and digital transformation initiatives through the effective use of geospatial technologies.
  • Conduct technical reviews, architecture assessments, and solution evaluations for geospatial systems and applications.
  • Identify emerging geospatial technologies and industry trends and provide recommendations for adoption and implementation.
  • Support project planning, risk management, requirements development, and strategic decision-making activities.
  • Assist with the development of policies, procedures, governance frameworks, and operational guidance related to geospatial services.
  • Provide technical oversight for geospatial data collection, processing, analysis, visualization, and dissemination activities.
  • Develop executive briefings, white papers, technical reports, and strategic recommendations for senior leadership.
  • Mentor technical personnel and provide guidance on geospatial methodologies, tools, and best practices.
  • Support compliance with organizational, federal, and industry standards applicable to geospatial programs and data management.
  • Facilitate collaboration among federal stakeholders, technical teams, and external partners to advance geospatial capabilities and mission outcomes.

Basic Qualifications

  • Master's degree in Geographic Information Systems (GIS), Geography, Geospatial Science, Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
  • Minimum of ten (10) years of experience supporting IT programs, systems, or technology initiatives, including significant experience in geospatial support environments.
  • Demonstrated expertise in geospatial technologies, GIS platforms, spatial analysis, and geospatial data management.
  • Experience supporting enterprise geospatial programs and integrating geospatial solutions with business and operational systems.
  • Knowledge of geospatial data standards, metadata management, and data governance principles.
  • Experience developing geospatial strategies, roadmaps, technical recommendations, and architecture guidance.
  • Familiarity with cloud-based geospatial services and enterprise technology environments.
  • Strong analytical, problem-solving, and strategic planning skills.
  • Experience communicating complex technical concepts to executive leadership and non-technical stakeholders.
  • Excellent written, verbal, and presentation communication skills.
  • Ability to lead cross-functional teams and influence stakeholders across multiple organizational levels.
  • U.S. Citizen and ability to get the clearance.

Preferred Qualifications

  • Experience supporting Department of Homeland Security (DHS), Cybersecurity and Infrastructure Security Agency (CISA), or other Federal Government geospatial programs.
  • Hands-on experience with Esri ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro, QGIS, or equivalent GIS platforms.
  • Experience supporting geospatial analytics, location intelligence, and spatial data visualization initiatives.
  • Knowledge of Federal Geographic Data Committee (FGDC) standards and National Spatial Data Infrastructure (NSDI) frameworks.
  • Experience with cloud-based geospatial solutions in Microsoft Azure, AWS, or Google Cloud environments.
  • Familiarity with geospatial databases, spatial ETL tools, and geospatial web services.
  • Experience supporting emergency management, critical infrastructure, cybersecurity, public safety, or mission-support geospatial operations.
  • Project Management Professional (PMP), GISP (GIS Professional), Esri Technical Certification, AWS, Azure, or equivalent certifications.

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