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Summer Geospatial Data Science Intern Jobs in Springfield, OH

Bachelor's degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience. * 6 ...

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ... Knowledge of geospatial intelligence (GEOINT) workflows and imagery modalities. * Familiarity with ...

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ... Knowledge of geospatial intelligence (GEOINT) workflows and imagery modalities. * Familiarity with ...

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... Proficiency in geolocation techniques and experience using satellite-based geospatial data for ...

GEOINT Analyst

Beavercreek, OH · On-site

$90 - $150/hr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... Proficiency** in geolocation techniques and experience using satellite-based geospatial data for ...

Data Analyst

Dayton, OH · On-site

$61.90 - $141/hr

Develop data analytics and visualizations using proven, industry‑standard data science principles ... Qualifications * 1+ year of experience in a geospatial information systems tool (e.g., ArcView ...

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... You Have: * 1+ years of experience in a Geospatial Information Systems tool, such as ArcView ...

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Summer Geospatial Data Science Intern information

See Springfield, OH salary details

$10

$20

$37

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

As of Aug 25, 2026, the average hourly pay for summer geospatial data science intern in Springfield, OH is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $22.07 per hour, depending on experience, location, and employer.

What is the difference between Summer Geospatial Data Science Intern vs Summer GIS Intern?

AspectSummer Geospatial Data Science InternSummer GIS Intern
Required CredentialsRelevant coursework in data science, GIS, or related fields; basic programming skillsGIS certifications or coursework; GIS software proficiency
Work EnvironmentData analysis, modeling, programming, and spatial data processingMapping, spatial data management, and GIS software application
Employer & Industry UsageTech companies, environmental agencies, research institutionsGovernment agencies, urban planning firms, environmental organizations

The Summer Geospatial Data Science Intern role focuses on analyzing spatial data using data science techniques and programming, while the Summer GIS Intern emphasizes mapping and managing spatial data with GIS software. Both positions require familiarity with GIS concepts, but the data science internship leans more toward programming and data analysis, whereas the GIS internship centers on mapping and spatial data management.

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For Summer Geospatial Data Science Intern jobs in Springfield, OH, the most frequently searched job titles are:

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What cities near Springfield, OH are hiring for Summer Geospatial Data Science Intern jobs?

Cities near Springfield, OH with the most Summer Geospatial Data Science Intern job openings:

Infographic showing various Summer Geospatial Data Science Intern job openings in Springfield, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $42,163 per year, or $20.3 per hour.

Data Analyst Mid - GEOINT Technical SME

Dayton, OH • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. They are seeking a Data Analyst - GEOINT Technical SME to support geospatial intelligence, business analytics, data visualization, and mission data management activities.
Responsibilities:
• Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices.
• Transform complex data sets from multiple sources into understandable visual products that support leadership, mission, and business decision-making.
• Collaborate with project requestors, stakeholders, subject matter experts, and project managers to refine requirements and clarify business objectives.
• Use data analytics to identify issues, draw logical conclusions, form business insights, and recommend ways to improve organizational performance and efficiency.
• Support the development, integration, maintenance, and sustainment of analytic models, visualizations, and tools.
• Support risk scoring, anomaly detection, performance monitoring, metrics tracking, and related data analysis implementations as required.
• Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
• Prepare reports, briefings, dashboards, and visual summaries for internal teams, technical stakeholders, and leadership audiences.
• Support policy, process, and business operations activities by contributing data analysis, technical editing, documentation, and reporting support.
• Use scripting and automation techniques to manipulate, analyze, clean, transform, or visualize data as needed.
• Support geospatial data analysis and related GEOINT mission activities using applicable tools, data sets, and technical methods.
• Work independently and collaboratively in a dynamic environment with changing priorities and short suspense timelines.
Qualifications:
Required:
• Top Secret / SCI security clearance
• U.S. Citizenship
• Bachelor’s degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
• 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, or data-driven business products.
• Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
• Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
• Experience creating and editing visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
• At least 12 months of demonstrated experience using one or more geospatial or GEOINT-related tools such as ArcGIS, ArcView, RemoteView, ArcIMS, ERDAS Imagine, or similar geospatial analysis tools.
• Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization.
• Demonstrated ability to use SharePoint, Tableau, Redmine, databases, or other systems to manipulate data, manage information, and build data visualizations.
• Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
• Proficiency with Microsoft Office tools, including Excel and PowerPoint.
Preferred:
• Experience supporting GEOINT, Intelligence Community, Department of Defense, or national security missions.
• Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
• Experience with policy development, process improvement, business operations, or performance management initiatives.
• Experience with GEOINT analysis software, NGA mission applications, geospatial data sets, or mission reporting tools.
• Experience using Tableau, Python, SQL, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
• Experience preparing executive-level briefings, technical reports, dashboards, and visual summaries for senior stakeholders.
• Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.
Company:
TULK llc provides Executive Management and Strategic Technology consulting to thought leaders and next-gen technology implementers within the Federal and Commercial sectors. Founded in 2013, the company is headquartered in Virginia, USA, with a team of 11-50 employees. The company is currently Early Stage.