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Internship Geospatial Data Scientist Jobs in Virginia

Data Scientist - TS/SCI Cleared Location: Springfield, VA Required Clearance: Top Secret/SCI ... Advanced knowledge of geospatial data management including data type conversion; coordinate systems ...

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Data Scientist (Senior) / Python Developer Location: Springfield, VA Remote Work: No Required ... Geospatial Expertise (ESRI): Our technical stack is built exclusively on the ESRI suite of tools.

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Showing results 41-60

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 Virginia?

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

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

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

Data Scientist (Senior) ML/Russian - TS/SCI

Wiser

Springfield, VA • On-site

$115K - $150K/yr

Full-time

Re-posted 10 days ago


Job description

Data Scientist - TS/SCI ClearedLocation: Springfield, VA Required Clearance: Top Secret/SCI Security Clearance Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider. We are seeking a Senior Data Scientist with strong machine learning development and coding expertise to support a customer mission in Springfield, VA. Russian language proficiency is a strong plus, but not a requirement. An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered. This position is focused on advanced data science and machine learning development within a GEOINT mission space. The ideal candidate brings strong coding, model development, and analytic problem-solving skills, with the ability to integrate geospatial and multi-source data to deliver mission impact. Russian language and geospatial linguistic experience are considered a plus, but not required. The selected candidate will exploit, analyze, and produce imagery-derived intelligence products while integrating foreign geographic names data, native-language sources, and geospatial metadata to enhance analytic accuracy and mission impact. Minimum QualificationsU.S. CitizenActive Top-Secret/SCI security clearance at time of application and willingness to complete a CI poly upon request.Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.Demonstrated senior-level experience designing, training, and deploying machine learning models.Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.Experience structuring and processing large, complex, and unstructured datasets.Experience processing unstructured data and documents (e.g., text, reports, open-source content).Experience developing or supporting NLP capabilities, including querying across aggregated data sources.Strong understanding of data pipelines, feature engineering, and model evaluation techniques.Experience working with geospatial data and integrating spatial context into analytic workflows.Strong research, critical thinking, and analytic writing skills.Familiarity with working in high-side (classified) environments.Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.Familiarity with working in high-side (classified) environments. Desired QualificationsRussian language proficiency (ILR 2+ or higher).Experience working with geospatial linguistics, toponymy, or foreign geographic data.Regional expertise in Russian Federation and/or Russian-influenced geographies.Experience developing machine learning models or AI-enabled analytics within national security or GEOINT environments.Proficiency in Python for advanced analytics, automation, or data engineering workflows.Experience developing ontologies, schemas, or knowledge graphs.Experience integrating multi-INT or multi-source data into advanced analytic workflows.Prior experience briefing senior government stakeholders.ResponsibilitiesDesign, develop, train, and deploy machine learning models to solve complex mission problems.Write production-quality code in Python (or similar) to support model development, testing, and deployment.Structure disparate and unstructured data (imagery, text, geospatial features) into usable formats for quantitative analysis and fusion.Develop and maintain scalable data pipelines to support automated analytic workflows.Build and apply statistical models, machine learning algorithms, and data processing techniques for pattern detection and predictive analysis.Generate automated workflows to improve efficiency, reproducibility, and scalability of analytic production.Aggregate existing data stores and enable natural language processing (NLP) query capabilities using existing APIs.Process and analyze large volumes of unstructured data and documents to extract mission-relevant insights.Integrate geospatial and multi-source data into advanced analytic workflows.Translate complex quantitative findings into clear, actionable insights through visualization and storytelling.Collaborate with cross-functional teams to deliver scalable, mission-focused data science solutions.Brief findings clearly and confidently to technical and non-technical audiences. Work EnvironmentWork is within a team environment and will be conducted on site in Springfield, VA.  *Candidates are encouraged to submit a resume that explicitly addresses each of the requirements listed above.Wiser Imagery Services employs personnel within the states of Alabama, Florida, Georgia, Illinois, Indiana, Maryland, Missouri, North Carolina, North Dakota, Ohio, Pennsylvania, Tennessee, Texas, Virginia, and West Virginia.Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans To comply with Federal law, Wiser Imagery Services participates in E-Verify. Successful candidates must pass the E-Verify process upon hire. Wiser Imagery Services is a drug-free workplace. We respectfully request not to be contacted by recruiters and/or staffing agencies.
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