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Internship Geospatial Data Scientist Jobs in Virginia

Darkhorse Geospatial LLC

Data Scientist

Falls Church, VA · On-site

$120 - $180/hr

Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines ...

Posted today

Tulk LLC

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

Bachelor's degree in Data Science, Statistics, Business, Computer Science, Information Systems, Mathematics, Engineering, Geography, Geospatial Information Systems, or a related field, or equivalent ...

Whitespace

Data Scientist

Alexandria, VA · On-site +1

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ... We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT.

Whitespace, Ltd.

Data Scientist

Alexandria, VA · On-site

$100 - $130/hr

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates ... We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT.

New

Voiceflow

Data Scientist

Alexandria, VA · On-site

$100 - $130/hr

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates ... We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT.

New

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

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

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

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 ...

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

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:
Internship Geospatial Data Scientist jobs near you

SAR Data Scientist/Imagery Scientist with Security Clearance

NorthHill Technology Resources

Falls Church, VA • On-site

Other

Posted 21 days ago

Job description

NorthHill Technology Resources has a need for a SAR Data Scientist/Imagery Scientist to join a Federal Program in Falls Church, VA. This is a direct-hire opportunity with our client, a highly respected Federal Integrator. A current TS/SCI Clearance is required. We are seeking an experienced SAR Data Scientist/Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions. This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments. As a SAR Exploitation/Imagery Scientist, you will provide subject matter expertise in Synthetic Aperture Radar (SAR) imagery, geospatial analysis, and quantitative assessment to support data curation, imagery exploitation, and dataset development for machine learning model testing and evaluation. You will collaborate with engineers, data scientists, and mission analysts to ensure imagery products are prepared, standardized, and optimized for AI/ML applications. Required Qualifications Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
4+ years of experience working with Synthetic Aperture Radar (SAR) imagery, including collection methodologies, radar phenomenology, image formation, and exploitation products.
Experience evaluating SAR imagery quality metrics and interpreting sensor metadata, including the effects of collection geometry (e.g., graze angle, squint angle, azimuth) on SAR phenomenology.
Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest.
Strong understanding of remote sensing principles, imagery processing, and advanced SAR exploitation techniques.
Excellent communication skills with the ability to effectively present SAR methodologies, imagery products, and analytical findings to both technical and non-technical audiences.
Preferred Qualifications
Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
Key Responsibilities
Support the Lead SAR Scientist in evaluating emerging sensor capabilities and comparing new collection platforms with existing operational systems.
Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required to ingest and integrate data into operational pipelines.
Evaluate data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing. This may include file format conversion, image tiling, geospatial normalization, and other data preparation activities to ensure compatibility with established data standards.

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