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Geospatial Data Science Jobs in Washington (NOW HIRING)

GRVTY

Geospatial Data Scientist

Mclean, VA

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

Maxar

Geospatial Data Scientist

Mclean, VA · On-site

$113K - $188K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

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Geospatial Data Science information

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$24.9K

$87.8K

$138.2K

How much do geospatial data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for geospatial data science in Washington is $87,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $90,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

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 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 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.

What are popular job titles related to Geospatial Data Science jobs in Washington? For Geospatial Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science jobs in Washington look for? The top searched job categories for Geospatial Data Science jobs in Washington are:
Geospatial Data Science jobs near you

Geospatial Data Scientist

GRVTY

Mclean, VA

Other

Posted 19 days ago

Job description

What Impact You'll Have:

Our team integrates hundreds of data sources into a Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and dataset is widely-recognized as the leading platform for geospatial analysis, touching nearly every type of mission. Top government officials use analysis from this platform to make daily decisions that have global impact. The platform is constructed of 3rd party tools and custom applications, and new data sources are constantly being added. The customer is excellent to work with, and there is a healthy mix of customer-driven requirements and team-driven ideas / innovation: engineers typically have freedom in choosing how to do things and which technologies to utilize. Customer leadership also helps drive innovation and has created a close, collaborative idea exchange between staffers and contractors. Our Team Lead has said "this is simply the best group of people I've worked with". Despite this platform being widely used, there is a huge amount of brand new work adding new capabilities and data sources, as well as migrating more and more of the subsystems to AWS. There are recurring opportunities on this team for Analytic / BigData Software Developers, Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers, Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and Geospatial Systems Engineers. Work on this program takes place in the McLean, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable by this customer). THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS tools on a daily basis to establish automated ETL (Extract, Transform, Load) pipelines, implement geospatially focused analytics, and create data visualizations to be shared with a wide range of audiences. In addition to these core functions, the Data Scientist helps to ensure that the project's data architecture is scalable, maintains high data quality/integrity, and is streamlined to maximize performance.

What You'll Be Owning:

GRVTY is seeking a Geospatial Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Mclean, VA

What You Must Have:

  • Active TS/SCI with Polygraph Clearance
  • Minimum 3 years of experience with a Bachelor's degree or 1 year of experience with a Master's degree
  • Python experience to automate data transformation and analysis of geospatial datasets
  • Experience working with PostgreSQL to extract data from RDBMS
  • Experience with AWS tools Linux experience
  • Experience with API Connections
  • Comfortable working with all types of geospatial datasets in thick client applications (e.g. ArcGIS) 

What Would Be Nice to Have:

  • Experience working with R, Tableau
  • Experience working with NiFi

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