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Summer Geospatial Data Science Intern Jobs in Virginia

Responsibilities : • Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis • Apply geospatial data science techniques to identify patterns ...

Responsibilities : • Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis • Apply geospatial data science techniques to identify patterns ...

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

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 ...

Senior Geospatial Data Engineer

Mclean, VA

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Your Growth You'll expand your geospatial tradecraft into applied data science and AI/ML data ... operations - developing skills in quantitative analysis, spatial statistics, and ML-informed ...

Your Growth You'll expand your geospatial tradecraft into applied data science and AI/ML data ... operations -- developing skills in quantitative analysis, spatial statistics, and ML-informed ...

Geospatial Analyst III

Glen Allen, VA · On-site

$75K - $97K/yr

Bachelor's degree in computer science, data science, GIS or other relevant geospatial or data science related field * At least 5 years' experience working with Esri technology, particularly with Esri ...

Geospatial Analyst III

Glen Allen, VA · Hybrid

$75K - $97K/yr

Bachelor's degree in computer science, data science, GIS or other relevant geospatial or data science related field * At least 5 years' experience working with Esri technology, particularly with Esri ...

The ideal candidate brings strong multi-INT analytical skills and a passion for applying advanced geospatial tradecraft and data science principles to solve complex military and intelligence ...

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Summer Geospatial Data Science Intern information

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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Geospatial Data Scientist

Vantor

Mclean, VA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The role involves supporting the gathering of project requirements and implementing data-driven solutions as a Geospatial Data Scientist.
Responsibilities:
• Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis
• Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights
• Create maps, visualizations, and analytic products for technical and non-technical audiences
• Maintain high-quality, repeatable data workflows, ensuring data integrity, documentation, and performance
Qualifications:
Required:
• Bachelor’s degree with 3+ years of relevant experience, or Master’s degree with 1+ year of relevant experience
• Strong experience using Python for geospatial data transformation, automation, and analysis
• Strong experience working with geospatial data in thick-client GIS software (e.g., ArcGIS)
• Experience with PostgreSQL/PostGIS, AWS services, and Linux-based environments
• U.S. citizenship and Active TS/SCI with required polygraph
• Willingness to work on-site full time
Preferred:
• Experience working with Python notebooks (e.g., Jupyter) for exploratory and reproducible analysis
• Experience integrating and consuming data via REST APIs
• Experience with R, Tableau, or similar analytical and visualization tools
• Experience with Apache NiFi or comparable data workflow/orchestration tools
• Familiarity with Git for versioning scripts and analytic artifacts
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.