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Geospatial Data Science Jobs in Washington (NOW HIRING)

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

... data science, including the areas of data collection processing exploitation, transformation ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

Fraym

Mid/Senior Data Scientist

Arlington, VA · Remote

... science background and experience working in highly collaborative small teams. Preference will be given to applicants with experience in leveraging models to predict survey and/or geospatial data.

INCATech LLC

Geospatial Engineer

Northern Virginia, VA · On-site

Collect, analyze, validate, and manage geospatial data using GIS, remote sensing, and GPS tools ... Bachelor's degree in geography, GIS, geospatial engineering, computer science, or related field ...

GRVTY

Geospatial Analyst - Mid

Falls Church, VA · On-site

... data science principles, including tools such as: • RemoteView • Cedalion • ArcGIS Pro • ... Advanced geospatial skills • Strong understanding of how to apply evolving technology and ...

GRVTY

Geospatial Analyst - Mid

Falls Church, VA · On-site

$85K - $105K/yr

The ideal candidate brings strong multi-INT analytical skills and a passion for applying advanced geospatial tradecraft and data science principles to solve complex military and intelligence ...

GRVTY

Geospatial Analyst - Mid

Falls Church, VA

$85K - $105K/yr

The ideal candidate brings strong multi-INT analytical skills and a passion for applying advanced geospatial tradecraft and data science principles to solve complex military and intelligence ...

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Showing results 1-20

All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Washington

Geospatial Data Science information

See Washington salary details

$24.9K

$87.8K

$138.2K

How much do geospatial data science jobs pay per year?

As of Jul 12, 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.

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.

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.

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 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
Infographic showing various Geospatial Data Science job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $87,770 per year, or $42.2 per hour.
Mid-Level Data Scientist

Mid-Level Data Scientist

Leidos

Springfield, VA • On-site

$73K - $132K/yr

Full-time

Re-posted 3 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 449 rated business services

Job description

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA.
This team member will collect, process, and perform data analysis and deliver data driven solutions to quantitatively improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.
We're looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes.
Primary Responsiblities
  • Collect process data and perform data analysis.
  • Integrate centralized protect and maintain data in DBMS.
  • Clean massage and organized data.
  • Perform ad hoc analysis and present results in a clear manner.
  • Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
  • Assist with creation/deployment/maintenance of cloud applications to support migration of data and production processes
  • Assist with creation/maintenance of tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.
  • Write/maintain Python scripts in Arc GIS to improve efficiency of the production process.
  • Assist in providing support to Business Processing Re-engineering.
  • Perform Data Conversion/migration
  • Assist with development and performance of automated Business Analytics.

Basic Qualifications
  • Typically requires a BA degree and 4 - 8 years of prior relevant experience or Master's with 2 - 6 years of prior relevant experience.
  • 1 - 3 years of experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics.
  • 1 - 3 years of experience, using Tableau or equivalent Business Intelligence software and software server functions.
  • 3 - 5 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and Java, scripts and familiar familiarity of querying with SQL. Knowledge and experience using developing code using versions control tools like get advance, knowledge and data science, including the areas of data services, modeling, and analytics.
  • Active TS/SCI clearance with ability to be approved for a CI Poly

Preferred Qualifications
  • 1 - 3 years of demonstrated experience performing geospatial data management, including data type conversions coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions.
  • Experience in combining, digital cartography, computer, technology, GIS, cartographic and geospatial, production techniques, remote, sensing photography and digital data formats.
  • Experience building dashboards/websites portraying data analytics.
  • Experience cleansing, structuring, large sets of data.
  • Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/ArcPro and Arc Server
  • Experience with ESRI Workflow Manager, WMX and TAM
  • Knowledge of database systems and architecture
  • Ability writing SQL.
  • Understanding, cloud architecture, and Dev Ops.
  • Knowledge of symbolization rules.
  • Knowledge of generalization rules.
  • Experience working with geospatial data in multiuser enterprise environment.
  • Minimum 2 years of experience working with data quality control, tools, including ArcGIS data reviewer
  • Knowledge of metrics dissemination.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Ability to convert structure data into structured Data

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 11, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $73,450.00 - $132,775.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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