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Geospatial Data Scientist Jobs in Washington, DC

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 ...

Fairygodboss

Mid-Level Data Scientist

Springfield, VA · On-site

$85 - $110/hr

Leidos is actively interviewing for a Mid‑Level Data Scientist to join our team in Springfield ... Preferred Qualifications * 1-3 years of demonstrated experience performing geospatial data ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site

$150 - $210/hr

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. The program is in active ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

... for geospatial intelligence products. The program is in active development - this is not a ... Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a closely related ...

Whitespace

Data Scientist

Alexandria, VA · On-site

$120 - $160/hr

Data Scientist Location: Hybrid/Alexandria, VA At GeoDelphi Inc., we harness the power of ... As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ...

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 ...

Leidos

Mid-Level Data Scientist

Springfield, VA

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

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 ...

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Geospatial Data Scientist information

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$42.5K

$139K

$222.6K

How much do geospatial data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for geospatial data scientist in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 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.

What are the most commonly searched types of Geospatial Data Scientist jobs in Washington, DC?

The most popular types of Geospatial Data Scientist jobs in Washington, DC are:

What are popular job titles related to Geospatial Data Scientist jobs in Washington, DC?

For Geospatial Data Scientist jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Washington, DC look for?

The top searched job categories for Geospatial Data Scientist jobs in Washington, DC are:

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

CISA - Geospatial Data Scientist

Arlington, VA • On-site

cFocus Software Incorporated
51 - 200 employees
Learn more about cFocus Software Incorporatedexternal

Full-time

Posted 4 days ago

Job description

Senior Geospatial Data Scientist (TS/SCI) - ArcGIS / Python
Location: Arlington, VA (on-site at federal facilities)
Clearance: Active Top Secret/SCI security clearance
Citizenship: U.S. citizenship required
Position Type: Full-time
About the Role
cFocus Software Incorporated is seeking a Senior Geospatial Data Scientist to serve as the analytic engine of a TS/SCI-cleared team supporting DHS CISA's mission to model, monitor, and protect the nation's communications infrastructure, including undersea cables. You will design and operationalize geospatial data science workflows on the ESRI platform that deliver near real-time situational awareness to Government decision-makers before, during, and after national emergencies.Responsibilities
  • Design, implement, and operationalize geospatial data science workflows using ArcGIS Pro (desktop analytics and geoprocessing), ArcGIS Enterprise and ArcGIS Online (web GIS publishing, analysis, and content management)
  • Automate reproducible analytics and enterprise system integration using Python libraries including ArcPy and the ArcGIS API for Python
  • Perform exploratory data analysis, clustering, hot-spot detection, suitability modeling, route optimization, and predictive modeling on large infrastructure datasets using ArcGIS Pro and Python
  • Publish analytic outputs as web maps, web scenes, and analytical services; configure sharing, groups, roles, and collaboration across enterprise portals
  • Integrate analytic services with downstream applications including ArcGIS Dashboards and Experience Builder consistent with agency architecture
  • Conduct network-based and technology-based analyses of critical undersea and terrestrial communications infrastructure, including infrastructure mapping, performance assessments, and data validation
  • Develop and present Analysis Decision Briefings to Government stakeholders prior to initiating assigned analyses
  • Monitor enterprise geospatial tool accounts in accordance with security clearance level; interface with critical infrastructure sector representatives and DHS components
  • Respond to initial analytic requests, perform preliminary research, and conduct rapid triage on questions, issues, or events involving the nation's critical communications infrastructure before elevating to Government leads
  • Provide analyses before, during, and after national security and emergency preparedness (NS/EP) events, including surge support outside normal business hours
  • Deliver tool training in lecture, demonstration, and desk-side formats upon delivery of new capabilities and semi-annually thereafter
  • Produce concise, professional-quality written products including analytic reports, briefings, and documentation on 5-business-day Government review cycles
Required Qualifications
  • Active, final Top Secret/SCI clearance granted by the U.S. Government; U.S. citizenship
  • Bachelor's degree with six (6) years of specialized experience, Master's degree with four (4) years, or ten (10) years of equivalent specialized experience
  • Advanced proficiency with the ESRI ArcGIS product suite: ArcGIS Pro, ArcGIS Enterprise, and ArcGIS Online
  • Demonstrated experience automating geospatial analysis with Python, ArcPy, and the ArcGIS API for Python
  • Demonstrated experience developing geospatial products from large datasets, including spatial statistics (clustering, hot-spot analysis), suitability modeling, route optimization, and predictive modeling
  • Specialized experience in, or demonstrated aptitude for, telecommunications network modeling and analysis spanning the Public Switched Network (Internet, PSTN, and wireless), including associated methodologies, tools, data, and procedures
  • Working knowledge of cybersecurity and IT security principles
  • Strong research, analysis, and technical writing skills producing deliverables to formal Government acceptance standards
  • Familiarity with the National Response Framework (NRF) and Emergency Support Function (ESF) #2
  • Availability for after-hours, weekend, and holiday surge support during NS/EP events
Preferred Qualifications
  • Experience with telecommunications, utility, or other critical infrastructure datasets (e.g., HIFLD or comparable national-scale data programs)
  • Experience operating in classified environments and handling classified and sensitive unclassified mission data
  • Experience working under DHS 4300A/4300B or comparable federal security policy frameworks
  • Dashboard and geospatial visualization design for senior government or executive audiences
  • Experience supporting emergency operations, incident response, or 24/7 watch environment

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