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Internship Geospatial Data Scientist Jobs in Ohio

GRVTY

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

What Impact You'll Have GRVTY is looking for a Senior Scientist to support research, algorithm ... data analysis. * Experience with geospatial and exploitation tools such as ArcGIS, Google Earth ...

Stryker

Data Science Intern - Remote

Cleveland, OH · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Stryker

Data Science Intern - Remote

Toledo, OH · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Stryker

Data Science Intern - Remote

Columbus, OH · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Stryker

Data Science Intern - Remote

Bowling Green, OH · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Proctor & Gamble

$109K - $131K/yr

Procter & Gamble is looking for interns interested in various roles within the data and analytics ... In the process of obtaining a Bachelor's in Computer Science, Computer Engineering, Data ...

New

GRVTY

Senior Scientist

Dayton, OH · On-site

$88K - $121K/yr

What Impact You'll Have GRVTY is looking for a Senior Scientist to support research, algorithm ... data analysis. * Experience with geospatial and exploitation tools such as ArcGIS, Google Earth ...

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All JobsGeospatial Data Scientist JobsInternship Geospatial Data Scientist JobsInternship Geospatial Data Scientist Jobs in Ohio

Internship Geospatial Data Scientist information

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 are the most commonly searched types of Geospatial Data Scientist jobs in Ohio?

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

What cities in Ohio are hiring for Internship Geospatial Data Scientist jobs?

Cities in Ohio with the most Internship Geospatial Data Scientist job openings:

Internship Geospatial Data Scientist jobs near you

Data Science & Analytics Specialist

Apogee Engineering, LLC

Dayton, OH • Hybrid

Full-time

Posted 16 days ago

Job description

Apogee Engineering has a exciting position for a Data Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic workflows leveraging NASIC data within cloud and enterprise environments. Works under the guidance of senior engineers and analysts to enable IA/AI/ML-enabled mission workflows.

****Contingent Upon Contract Award****


  • Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
  • Support the preparation and transformation of data for IA/AI/ML and advanced analytics.
  • Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
  • Document analytic processes, data flows, and results in support of technical reports and briefings.
  • Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.

Minimum Experience:

Citizenship: Must be a US citizen 
Clearance: Ability to obtain and maintain a TS/SCI security clearance.

Education / Years of Experience:
Additional Experience:

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field, with at least two (2) years’ related experience (may include applied research, internships, or professional work).
  • Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar).
  • Ability to interpret quantitative results and communicate them clearly in written and verbal form.
  • Familiarity with basic data management and data quality concepts.

Preferred Qualifications:

  • Experience supporting IA/AI/ML model development, evaluation, or integration.
  • Familiarity with cloud-based data and analytics platforms.
  • Experience working with intelligence or operational datasets (simulated or real).

Additional Information
Location: Wright Patterson AFB Dayton, OH
On-site/Hybrid/Remote: On-site
Travel: Occasional


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