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Spatial Data Science Jobs in Washington (NOW HIRING)

Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling. * Experience managing data science projects, data ...

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer ... Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis ...

Data Scientist

Mclean, VA · On-site

$117.70 - $218.60/hr

If you are passionate about the chance to put your Data Science skills to practice in support of ... spatial analysis, pattern-of-life, sentiment analysis. + Large Data Modeling: risk modeling ...

If you are passionate about the chance to put your Data Science skills to practice in support of ... Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis ...

If you are passionate about the chance to put your Data Science skills to practice in support of ... Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis ...

Be Seen First

Bachelor's degree in data visualization, information design, data science, statistics, or a related ... Familiarity with geographic or spatial data visualization tools (e.g., GIS or mapping tools)

Large Data Analysis: statistical methods, graph networks, anomaly detection, spatial analysis ... science, and media markets. Founded in 2008, the company is headquartered in Toronto, CAN, with a ...

Our client is forging the new frontier of spatial intelligence, helping decision makers and ... data science approaches. Data Scientists will support a forward-leaning defense intelligence ...

... scientific data and to determine accuracy of derived products, such as maps and modelsIntegrate spatial data from various sources, including with non-spatial datasets to provide comprehensive ...

Showing results 41-60

Spatial Data Science information

See Washington salary details

$50.4K

$146.9K

$201K

How much do spatial data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for spatial data science in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a spatial data scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

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

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in Washington? For Spatial Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Washington look for? The top searched job categories for Spatial Data Science jobs in Washington are:
What cities in Washington are hiring for Spatial Data Science jobs? Cities in Washington with the most Spatial Data Science job openings:
Infographic showing various Spatial Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Sr. Exploitation Specialist/Data Steward (TS/SCI)

Culmen International LLC

Springfield, VA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


Job description

HOT JOB - IMMEDIATE OPENING!!! 

MUST HAVE ACTIVE TS/SCI GOVERNMENT CLEARANCE FOR THIS POSITION.

Culmen International is hiring Sr. Exploitation Specialist/Data Stewardto provide support on-site at the National Geospatial-Intelligence Agency (NGA)inSpringfield, VA. 

The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). 


The Data Steward will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

  • Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
  • 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS.
  • Senior-level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
  • Demonstrated understanding of GIS, data schemas, and the geo-referencing of information
  • Knowledge of extraction and metadata specifications
  • Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques
  • Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs)
  • Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data
  • Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships
  • Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams
  • Knowledge of scripting languages, such as R or Python

  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments.

  • Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen,

    and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 
  • 401k – Vested immediately and 4% match
  • Life insurance and disability paid by the company
  • Supplemental Insurance Available
  • Opportunities for Training and Continuing Education
  • 12 Paid Holidays

To learn more about Culmen International, please visit www.culmen.com

At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants.  Our commitment to these principles is unwavering across all our operations worldwide.

The determination of compensation at Culmen International, LLC is based on various factors such as location, the individual's unique combination of education, knowledge, skills, competencies, clearance level, experience, internal equity, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $120,000-150,000 annually. This estimate represents the typical salary range for this position and is just one component of Culmen's total compensation package for employees.