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Volunteer Geospatial Data Scientist Jobs (NOW HIRING)

Core One

Geospatial Data Scientist (Expert)

Gordon, GA · On-site

... geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience. * Demonstrated experience and proficiency with data science ...

B&A

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Education and Experience Bachelor's degree in Geography, Geographic Information Systems, Geospatial Science, Data Science, Computer Science, Information Systems, or a related technical field is ...

Bart & Associates

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Education and Experience · Bachelor's degree in Geography, Geographic Information Systems, Geospatial Science, Data Science, Computer Science, Information Systems, or a related technical field is ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Geospatial Data Scientist Remote This is a Remote role. Compensation: $80 - $88 per hour ABOUT THE ROLE Our client is seeking a Geospatial Data Scientist to transform complex spatial data into ...

BAE Systems

Data Scientist Prin

Augusta, GA · On-site

The Geospatial Data Scientist will be expected to lead efforts such as, but not limited to: * design, implementation, and operate data driven approaches to client's intelligence requirements ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

kgs

Data Scientist

Cape Canaveral, FL

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

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How much do volunteer geospatial data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for volunteer geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a volunteer geospatial data scientist?

Volunteer Geospatial Data Scientists are individuals who use their expertise in geographic information systems (GIS), spatial analysis, and data science to support organizations or communities, often on a pro bono basis. They analyze spatial data, create maps, and develop models to help solve real-world problems such as disaster response, environmental monitoring, or urban planning. By volunteering their skills, they contribute valuable insights and help organizations make data-driven decisions without the cost of hiring full-time specialists.

What skills and qualifications are needed to thrive as a volunteer geospatial data scientist?

To thrive as a Volunteer Geospatial Data Scientist, you need strong analytical skills, proficiency in spatial analysis, and a solid background in geography or a related field, often supported by relevant coursework or experience. Familiarity with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and basic database management is typically expected. Excellent communication, collaboration, and adaptability are valuable soft skills for working with diverse teams and stakeholders. These skills and qualities are crucial for delivering accurate geospatial insights and making meaningful contributions to community or nonprofit projects.

What are common challenges volunteer geospatial data scientists face when working with nonprofit organizations?

Volunteer Geospatial Data Scientists often encounter challenges such as limited access to high-quality or up-to-date geospatial data, as many nonprofits operate with budget constraints. Collaborating with multidisciplinary teams can require clear communication, especially when explaining technical concepts to non-technical stakeholders. Additionally, balancing project scope with available volunteer time and resources can be challenging, so strong project management and prioritization skills are valuable. Despite these challenges, the role offers meaningful opportunities to make a direct impact through data-driven insights.
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Volunteer Geospatial Data Scientist jobs near you
Infographic showing various Volunteer Geospatial Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Geospatial Data Scientist

Washington, DC • On-site

SynMax, Inc.
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about SynMax, Inc.external

Other

Posted 7 days ago

Job description

Senior Geospatial Data Scientist

SynMax, Inc. Washington, District of Columbia, United States

About this position

About SynMax, Inc.

SynMax is a geospatial intelligence company. We fuse multi-sensor satellite imagery with signals, vessel-tracking and proprietary machine learning models, and apply trained analysts to produce finished intelligence on activity in low-transparency environments across the maritime and energy domains.

Our product suite: Theia, Hyperion, Vulcan and Leviaton - is used by commercial energy traders, financial institutions, government agencies, and defense and intelligence organizations.

Founded in 2021, we are around 130 people across Houston, London and Washington, D.C.

About the role

The Senior Geospatial Data Scientist sits within Theia's data science team, working on the models and pipelines that turn satellite imagery and vessel-tracking data into a verified picture of activity. Day to day, that means fusing optical and SAR imagery with AIS and other data sources and building the detection and prediction models behind capabilities like dark vessel detection, AIS spoofing, ship‑to‑ship transfers, and vessel attribution. You'll take work from prototype through to production on GCP alongside engineering, and you'll be expected to explain your reasoning clearly.

What you'll do
  • Develop and improve geospatial models and pipelines that fuse AIS data with optical and SAR satellite imagery to detect vessel behavior, anomalies, and deceptive activity at sea.
  • Apply computer vision techniques to satellite imagery for vessel detection, classification, and attribution.
  • Work with large-scale geospatial and time‑series datasets (AIS tracks, imagery, vessel metadata) to build and validate detection and prediction models.
  • Take models from prototype through to production, working with engineering to deploy on GCP.
  • Investigate new data sources and methods to close gaps in maritime domain awareness.
  • Communicate findings and model behavior clearly to both technical and non‑technical stakeholders, including customers.
  • Collaborate closely with the wider Theia data science and engineering teams on shared infrastructure, data pipelines, and tooling.
What We're Looking For
  • What We're Looking For
  • Strong geospatial data science background, with demonstrated experience working with spatial data, coordinate systems, and geospatial analysis techniques.
  • Experience working with earth observation data, e.g. electro‑optical or synthetic aperture radar (SAR).
  • Some computer vision experience (e.g., object detection/classification applied to imagery).
  • Strong Python skills and practical experience with the machine learning lifecycle: predictive modeling, classification, evaluation, and iteration.
  • Comfortable working independently, thinking through ambiguous problems, and explaining your reasoning and approach to others.
Nice to Have
  • Experience working with AIS (vessel‑tracking) data - desirable, but not a deal‑breaker if the rest of your background is strong.
  • Familiarity with GCP (BigQuery, Vertex AI) or equivalent cloud data platforms.
  • Experience with geospatial tooling and libraries (e.g., QGIS, GDAL, GeoPandas).
  • Experience with PyTorch, scikit‑learn, or similar ML frameworks.
  • Background in maritime, defense, intelligence, or energy domains.
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SynMax logo

About SynMax

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Houston, TX, US

Year founded

2021

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