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Intern 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 ...

New

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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Showing results 21-40

All JobsIntern Geospatial Data Scientist JobsIntern Geospatial Data Scientist Jobs in Virginia

Intern Geospatial Data Scientist information

What is the difference between Intern Geospatial Data Scientist vs Intern GIS Analyst?

AspectIntern Geospatial Data ScientistIntern GIS Analyst
Required CredentialsBasic coursework in data science, GIS, or related fields; some programming experienceStudying GIS, geography, or related fields; familiarity with GIS software
Work EnvironmentData analysis, modeling, and programming tasks in a tech or research settingMapping, data management, and spatial analysis in government or environmental agencies
Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, urban planning, environmental organizations

Intern Geospatial Data Scientists focus on analyzing spatial data using programming and statistical methods, while Intern GIS Analysts primarily handle mapping and spatial data management. Both roles provide valuable experience in geospatial fields but differ in technical depth and focus areas.

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Intern 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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