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Urgently Hiring Geospatial Data Scientist Jobs (NOW HIRING)

BAE Systems

Data Scientist Prin

Augusta, GA · On-site

$107K - $182K/yr

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 · 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+ ...

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+ ...

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... Science, Data Science, Engineering, or a related technical discipline. • 12+ years of ... geospatial technology, software development, data engineering, data analysis, or a related ...

The Pennsylvania State University

Collaborate with geospatial data analysts to understand and automate workflows and improve human ... Questions related to flexible work should be directed to the hiring manager during the interview ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

What Impact You'll Have GRVTY is hiring a Senior Data Scientist to support an IC program developing an enterprise-scale analytics and data management framework for geospatial intelligence products.

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How much do urgently hiring geospatial data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for urgently hiring 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 does a geospatial data scientist do?

A Geospatial Data Scientist specializes in analyzing and interpreting spatial data, often using geographic information systems (GIS) and remote sensing technologies. Their work involves collecting, cleaning, and processing location-based data to identify patterns, solve problems, and inform decision-making in fields such as urban planning, environmental monitoring, and logistics. They use statistical and machine learning techniques to derive actionable insights from complex geospatial datasets. This role requires strong analytical skills, proficiency with programming languages like Python or R, and familiarity with geospatial software tools. Geospatial Data Scientists frequently collaborate with other scientists, engineers, and decision-makers to support organizational goals.

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

To thrive as a Geospatial Data Scientist, you need expertise in spatial analysis, statistical modeling, and programming languages like Python or R, typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing tools, and experience with spatial databases are commonly required technical competencies. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for turning geospatial data into actionable insights that support decision-making and drive innovation.

What are some common challenges faced by geospatial data scientists when working with large and diverse datasets?

Geospatial Data Scientists often encounter challenges such as integrating data from multiple sources with varying formats, projections, and quality levels. Handling large volumes of spatial data can require advanced computational resources and efficient data processing techniques. Additionally, ensuring the accuracy and relevance of geospatial analyses demands strong attention to detail and familiarity with specialized tools and libraries. Collaborating with cross-functional teams, such as GIS analysts, software developers, and decision-makers, is often essential to deliver actionable insights from complex geospatial data.
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Urgently Hiring Geospatial Data Scientist jobs near you

Sr. Data Scientist

Delan Associates, Inc.

Juno Beach, FL • On-site

Contractor

Posted 11 days ago

Job description


The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex spatial analytics efforts, mentors less-experienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights. The position requires deep expertise in data science techniques and hands-on experience with spatial analytics at scale
Responsibilities:
  • This position leads the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs.
  • Responsibilities include establishing technical standards and development frameworks; guiding the architecture of enterprise geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.
  • Candidates should hold an advanced degree, with at least 6-8 years of experience in data science and a preference for data science in GIS during the last 4 years.
  • Extensive experience developing production-grade analytical tools and applications, and a strong track record of delivering enterprise-level business impact.
  • Preferred qualifications include significant experience developing GIS tools and applications using Esri technologies such as ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcPy, the ArcGIS API for Python, ArcGIS REST APIs, and ArcGIS Maps SDKs.

Experience developing custom geoprocessing tools, Python toolboxes, web-based mapping applications, dashboards, widgets, extensions, and automated spatial analysis workflows is highly valued.

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