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Geospatial Data Science Jobs (NOW HIRING)

Jobtailor

NY · On-site

$100 - $150/hr

Undergraduate degree in Data Science, Statistics, Mathematics, Economics, Computer Science ... Geospatial Data Analysis * Communication Skills ATS Optimization Keywords Hard Skills * Data ...

Core One

Geospatial Data Scientist (Expert)

Gordon, GA · On-site

Demonstrated experience and proficiency with data science techniques including (but not limited to ... Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing ...

Vantor

Senior Geospatial Data Engineer - Vantor

Mclean, VA · On-site

$117K - $141K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING * 3-6 years of experience in data science, GIS, or a related field * Strong proficiency in ...

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Maxar

Senior Geospatial Data Engineer

Mclean, VA

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

BAE Systems

Data Scientist Prin

Augusta, GA · On-site

$107K - $182K/yr

... geospatial data processing, and general intelligence analysis. The candidate must possess familiarity in GEOINT operations and extensive knowledge in data science to be considered. #GACC Required ...

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Geospatial Data Science information

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How much do geospatial data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for geospatial data science in the United States is $77,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.

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

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

How does a geospatial data scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

More about Geospatial Data Science jobs

What cities are hiring for Geospatial Data Science jobs?

Cities with the most Geospatial Data Science job openings:

What are the most commonly searched types of Geospatial Data Science jobs?

The most popular types of Geospatial Data Science jobs are:

What states have the most Geospatial Data Science jobs?

States with the most job openings for Geospatial Data Science jobs include:

What job categories do people searching Geospatial Data Science jobs look for?

The top searched job categories for Geospatial Data Science jobs are:

Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,494 per year, or $37.3 per hour.

Senior Geospatial Data Scientist, VP

Jobtailor

NY • On-site

$100 - $150/hr

Other

Posted 6 days ago

Job description


  • Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.

  • Mines and analyzes data from various banking platforms to drive optimization and improve data quality.

  • Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan.

  • Partner with business and technology stakeholders to design, implement, and govern AI-driven solutions, ensuring alignment with business objectives, risk management standards, and regulatory requirements.

  • Consults with business clients to determine system functional specifications.

  • Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.

  • Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.

  • Leads system change process from requirements through implementation; provides user and operational support of application to business users.

  • Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.

  • Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.

  • Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.

  • Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.

  • Performs other duties and functions as assigned.


Requirements

  • 5+ years experience in business and data analysis, process improvement and project management

  • Ability to effectively use complex analytical, interpretive and problem solving techniques.

  • Demonstrated interpersonal, verbal and written communication skills.

  • Methodical attention to detail

  • Experience using tools for statistical modeling of large data sets

  • Experience with desktop GIS (ESRI, MapInfo) and the application of geospatial data including demographics a plus

  • Undergraduate degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Operations Research, Geography/GIS, Analytics, or a related quantitative field; or equivalent experience.

  • Graduate degree preferred.


Core Competencies

Demonstrates expertise in strategic data analysis, project management, and process improvement, with a strong focus on delivering AI-driven solutions that align with business objectives and regulatory standards. Proficient in statistical modeling and geospatial data analysis to drive optimization and enhance data quality.


Highest-signal resume keywords

  • Data Analysis

  • Project Management

  • Statistical Modeling

  • Geospatial Data Analysis

  • Communication Skills


ATS Optimization Keywords
Hard Skills

  • Data Analysis

  • Process Improvement

  • Project Management

  • Statistical Modeling

  • GIS (ESRI, MapInfo)

  • Data Quality Optimization

  • Business Systems Integration

  • Requirements Gathering

  • Risk Management

  • Complex Problem Solving


Soft Skills

  • Interpersonal Skills

  • Verbal Communication

  • Written Communication

  • Attention to Detail

  • Diplomacy Skills


Industry Keywords

  • Banking

  • Data Science

  • Statistics

  • Economics

  • Operations Research

  • Quantitative Analysis

  • Business Objectives

  • Regulatory Requirements

  • Business Processes

  • System Functional Specifications


Tools & Technologies

  • GIS Software

  • Statistical Analysis Tools

  • Data Visualization Tools

  • Banking Platforms

  • AI-Driven Solutions

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