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Internship Geospatial Data Scientist Jobs (NOW HIRING)

kgs

Data Scientist

Cape Canaveral, FL

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... Science, Data Science, Engineering, or a related technical discipline. • 12+ years of ... geospatial technology, software development, data engineering, data analysis, or a related ...

The Pennsylvania State University

Collaborate with geospatial data analysts to understand and automate workflows and improve human ... Support scientific research projects and develop geospatial algorithms while collaborating among ...

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site +1

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

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How much do internship geospatial data scientist jobs pay per year?

As of Jul 12, 2026, the average yearly pay for internship geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an Internship Geospatial Data Scientist?

An Internship Geospatial Data Scientist is a student or recent graduate who assists in analyzing and interpreting geographic data using advanced computational and statistical methods. They work with spatial datasets, use GIS (Geographic Information Systems) software, and may help develop models to solve real-world problems involving locations and spatial relationships. This internship provides hands-on experience in data analysis, mapping, and programming, preparing individuals for a career in geospatial science or data analytics.

What types of projects can an Internship Geospatial Data Scientist expect to work on, and how do these contribute to the organization's goals?

As an Internship Geospatial Data Scientist, you can expect to work on projects involving spatial data analysis, map creation, and data visualization using tools like GIS software and Python or R. These projects often support decision-making in areas such as urban planning, environmental monitoring, or logistics optimization. Interns typically assist in cleaning and processing large spatial datasets, developing models, and presenting findings to team members. Your contributions help inform strategic initiatives and provide actionable insights, offering valuable experience and exposure to real-world geospatial challenges.

What are the key skills and qualifications needed to thrive as an Internship Geospatial Data Scientist, and why are they important?

To thrive as an Internship Geospatial Data Scientist, you need a solid understanding of GIS concepts, spatial analysis, and proficiency in programming languages like Python or R, often supported by coursework or a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing platforms, and data visualization software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret spatial data and collaborate with interdisciplinary teams. These abilities are crucial for delivering actionable geospatial insights and supporting data-driven decision-making within organizations.

What is the difference between Internship Geospatial Data Scientist vs Geospatial Data Analyst?

AspectInternship Geospatial Data ScientistGeospatial Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., GIS, Data Science)Similar educational background, often with additional certifications in GIS or analytics
Work EnvironmentInternship setting, often in tech, government, or environmental firmsFull-time or part-time roles in various industries like urban planning, environmental agencies
Employer & Industry UsageUsed by organizations seeking entry-level talent for geospatial projectsCommon in industries requiring spatial data analysis for decision-making

The Internship Geospatial Data Scientist is an entry-level role focused on learning and supporting geospatial data projects, often within a structured internship program. In contrast, a Geospatial Data Analyst is a more established position involving ongoing data analysis, reporting, and decision support. Both roles require similar educational backgrounds, but the internship is temporary and geared toward gaining experience, while the analyst role is typically permanent and more autonomous.

What cities are hiring for Internship Geospatial Data Scientist jobs? Cities with the most Internship Geospatial Data Scientist job openings:
What are the most commonly searched types of Geospatial Data Scientist jobs? The most popular types of Geospatial Data Scientist jobs are:
What states have the most Internship Geospatial Data Scientist jobs? States with the most job openings for Internship Geospatial Data Scientist jobs include:
Internship Geospatial Data Scientist jobs near you
Geospatial Data Engineer II

Geospatial Data Engineer II

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Posted 21 days ago

Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

10th of 105 rated laboratories

Job description

Requisition Id 16691
Overview:
The Geospatial Science and Human Security Division (GSHSD) is currently seeking world-class research and development professionals for the National Security Sciences Directorate within Oak Ridge National Lab. The geospatial data engineer will support the development of next generation data strategies that will support and deploy operational situational awareness products for sponsors across the Federal Government. We're looking for staff who bring fresh ideas from areas including information retrieval, distributed computing and storage, and data processing workflows. We need our staff to be flexible and be enthusiastic to take on problems across the organization as we continue to solve complex global scale problems in the areas associated with spatial computing.
The Geospatial Data Engineer will focus on the implementation of scalable data storage and processing solutions for high-volume and high-velocity data applications. The proposed solutions will include distributed computing that can be applicable for several geospatially focused research and development projects in the domains of energy, transportation, and other cross-disciplinary geospatial applications. The geospatial data engineer works with research scientists across the lab with the primary goal of researching and developing cutting edge solutions to complex problems posed by sponsors including DoD and DOE leveraging the lab's world-class resources.
Major Duties/Responsibilities:
  • R&D: assist in conducting research and development to support project-specific applications.
  • Data Development: working alongside researchers to develop and deploy geospatial data storage and processing solutions.
  • Requirements Decomposition: working alongside researchers and project sponsors to capture, understand, integrate, and implement project requirements in developed system architectures and software.

Interdisciplinary Collaboration: collaborating with a highly diverse and multidisciplinary team - from photogrammetrists, geographers, mathematicians, physicists, computer scientists, and engineers - in research, development, integration, testing, and deployment.
Basic Qualifications:
  • Requires an B.S. or M.S. in the field of Geography, Data Science, Computer Science, or related fields with a minimum of 2 years of relevant experience
  • Experience with programming languages such as SQL, Python
  • Experience with Extract, Transform, Load (ETL) processes.
  • Excellent written and oral communication skills and the ability to communicate in English to a scientific audience
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing needs
  • Demonstrated ability to present technical results to technical communities.
  • Excellent interpersonal skills with a strong commitment to a team environment

Preferred Qualifications:
  • Experience with Docker, Kubernetes, or similar container platforms/concepts.
  • Experience with s3, parquet, Duckdb, zarr and related software and technologies is a plus
  • At least 2 years of experience working with geospatial data and processing workflows and assessing data sources for fit-for-purpose.
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative and frequently interacting teams of researchers.
  • Experience with software and data governance best practices including, but not limited to: Agile development; version control using Git/GitFlow or similar system; data retention life-cycles, and project management via systems like JIRA, Asana, etc.
  • Utilize open-source and commercial tools and approaches to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking

Special Requirements:
  • Export control, no clearance: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.

Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
Relocation:
Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.
For more information about our benefits, working here, and living here, visit the "About" tab at jobs.ornl.gov.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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