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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

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+ ...

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How much do geospatial data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for 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 geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

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

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.
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Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, and 29% 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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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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