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Intern Geospatial Data Scientist Jobs in Washington

Data Scientist - TS/SCI Cleared Location: Springfield, VA Required Clearance: Top Secret/SCI ... Knowledgeable 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 ...

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

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.

How much does an intern geospatial data scientist make?

Intern geospatial data scientists typically earn between $15 and $25 per hour, depending on location, company, and level of experience. Compensation may also include benefits such as mentorship and training in GIS tools and programming languages like Python or R.

How to get a geospatial data scientist internship?

To secure a geospatial data scientist internship, candidates should have a strong foundation in geospatial analysis, programming skills in Python or R, and experience with GIS tools like ArcGIS or QGIS. Building a portfolio of relevant projects, obtaining certifications such as GISP or Esri Technical Certification, and applying through company career portals or internship programs can improve chances. Internships often require a related degree and good analytical skills.

What are the most commonly searched types of Geospatial Data Scientist jobs in Washington?

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

What are popular job titles related to Intern Geospatial Data Scientist jobs in Washington?

For Intern Geospatial Data Scientist jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Intern Geospatial Data Scientist jobs in Washington look for?

The top searched job categories for Intern Geospatial Data Scientist jobs in Washington are:

SAR Data/Imagery Scientist (TS/SCI Clearance required)

Northhill Technology

Falls Church, VA • On-site

Full-time

Re-posted 10 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.