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Spatial Data Science Jobs in North Carolina (NOW HIRING)

ECS

Senior Data Scientist

Camp Lejeune, NC · On-site

$100K - $150K/yr

This isn't just another data science role-it's an opportunity to transform raw data into actionable ... Advanced spatial analysis, pattern detection, and predictive modeling using GEOINT datasets * Multi ...

Shelby (NC)

GIS Coordinator

Shelby, NC

$31.38/hr

... science, or a related field, along with considerable professional GIS experience. GIS Professional (GISP) certification is preferred. Thorough knowledge of GIS principles, spatial data models, and ...

City of Shelby, NC

GIS Coordinator

Shelby, NC · On-site

$31.38/hr

... science, or a related field, along with considerable professional GIS experience. GIS Professional (GISP) certification is preferred. Thorough knowledge of GIS principles, spatial data models, and ...

Varsity Tutors

AP Human Geography Tutor

Durham, NC · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Raleigh, NC · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Wilmington, NC · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Winston Salem, NC · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Matthews, NC · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Charlotte, NC · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Human Geography Tutor

Greensboro, NC · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Esri

Application Developer - JavaScript

Charlotte, NC · On-site

$83K - $141K/yr

... spatial data, and support early-stage innovation. You will work on thought leadership ... Bachelor's degree in computer science, engineering, mathematics, GIS, or related field * Ability to ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

Working alongside multidisciplinary teams of scientists, clinicians, engineers, and data experts ... Extract spatial, morphological, and clinically relevant biomarkers to support multi-institutional ...

Duke University

Postdoctoral Associate

Durham, NC

Working alongside multidisciplinary teams of scientists, clinicians, engineers, and data experts ... Extract spatial, morphological, and clinically relevant biomarkers to support multi-institutional ...

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in North Carolina

Spatial Data Science information

See North Carolina salary details

$40.4K

$117.9K

$161.3K

How much do spatial data science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for spatial data science in North Carolina is $117,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 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 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 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 does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, relationships, and trends using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, and logistics.

What are popular job titles related to Spatial Data Science jobs in North Carolina?

For Spatial Data Science jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Spatial Data Science jobs in North Carolina look for?

The top searched job categories for Spatial Data Science jobs in North Carolina are:

Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,886 per year, or $56.7 per hour.

Senior Data Scientist

ECS

Camp Lejeune, NC • On-site

$100K - $150K/yr

Full-time

Posted 18 days ago

Job description

ECS is searching for an exceptional Senior Data Scientist for multiple locations to join our mission-critical team supporting our government customer in Sneads Ferry, NC or Northern VA. This isn't just another data science role-it's an opportunity to transform raw data into actionable insights that directly impact national security operations and warfighter support.
* Requires final acceptance by the Prime contractor and government customer.
** Validation of required clearances upon acceptance and approval from a cognizant government contracting officer. After customer indoctrination, the candidate will be submitted for a Counterintelligence Polygraph.
In an era where geospatial intelligence drives critical decisions, you'll architect innovative data solutions that help analysts see patterns others miss, anticipate threats before they materialize, and deliver the GEOINT advantage our nation depends on. Your work will directly enable our customers mission to provide timely, relevant, and accurate data in support of military and national security objectives.
Value Proposition:
  • Immediate Impact: Your solutions go into production, supporting real-world intelligence operations-not trapped in endless development cycles.
  • Technical Freedom: Lead the architectural direction. We trust senior talent to identify the right tools, frameworks, and approaches without bureaucratic constraints.
  • Innovation Culture: We invest in emerging technologies-AI/ML, automation, advanced analytics-and empower our team to implement them where they add mission value.
  • Elite Collaboration: Work alongside some of the most talented geospatial analysts, data engineers, and intelligence professionals in the community.

As a Senior Data Scientist, you'll serve as a technical leader and trusted advisor, bridging the gap between complex requirements and elegant technical solutions:
Core Responsibilities:
  • Architect Solutions, Not Just Code
    Design and implement end-to-end data science architectures that process multi-INT data streams at scale. You'll build automated pipelines that transform terabytes of structured and unstructured data into mission-critical intelligence products.
  • Lead Through Expertise
    Serve as the Subject Matter Expert for advanced analytics, mentoring team members while maintaining hands-on technical contributions. Your insights will shape program direction and capability roadmaps.
  • Innovate Continuously
    Research, prototype, and deploy cutting-edge analytical methodologies. Apply machine learning, network analytics, and advanced statistical techniques to solve intelligence problems that have never been solved before.
  • Deliver Clarity from Complexity
    Create sophisticated data visualizations and analytics dashboards that enable analysts to explore massive datasets intuitively, revealing patterns and relationships that drive intelligence assessments.
  • Drive Mission Success
    Partner directly with customer stakeholders, understanding their intelligence questions and translating them into technical requirements. Your solutions will directly support critical intelligence operations.
  • Technical Focus Areas
    • Geospatial Analytics: Advanced spatial analysis, pattern detection, and predictive modeling using GEOINT datasets
    • Multi-INT Fusion: Integrate and analyze data across GEOINT, SIGINT, OSINT, and other intelligence disciplines
    • Automation & Scale: Build production-grade Python solutions that handle massive data volumes with efficiency and reliability
    • Visual Intelligence: Develop interactive dashboards and network analytics that transform complex data into actionable insights
    • AI/ML Applications: Implement machine learning models for classification, clustering, anomaly detection, and predictive analytics. The candidate must have previous experience in ABI tradecraft as well and the ability to produce finished products that adhere to NGA and DNI standards.

Salary Range: $100,000 - $150,000
General Description of Benefits
  • US Citizen.
  • Active TS/SCI security clearance required to apply; must be able to pass a CounterIntelligence (CI) polygraph following customer indoctrination.
  • High School Diploma and 10+ years of relevant experience; alternatively, a Bachelors / Masters degree in a related field of study or a combination of military (10+ years), experience, training or certifications.
  • Proven track record supporting Intelligence Community missions in operational environments.
  • Senior-level proficiency in Python:
    • For data science, automation, and analytics pipeline development.
    • With demonstrated experience in designing mission ready solutions.
  • Experience:
    • Querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
    • Developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
    • Building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
    • Using Git-based version control platforms such as GitLab or GitHub.
    • Architecting solutions for large-scale structured and unstructured datasets.
    • Conducting multi-INT research and analysis to support operational requirements.
  • Hands-on experience with COTS platforms (Tableau, MATLAB, MapLarge) and GOTS capabilities for advanced statistical analysis.
  • Strong SQL skills and experience querying relational databases.
  • Proficiency with:
    • Geospatial processing frameworks such as GDAL or ArcPy.
    • GIS desktop software such as ArcGIS Pro or QGIS.
  • Ability to:
    • Write clear, concise technical documentation related to software systems and automated workflows.
    • Operate independently at a senior level with limited oversight.
    • Identify capability gaps and architect innovative technical solutions.
    • Proven ability to lead technical teams and mentor data scientists.
  • Familiarity with:
    • USSOCOM and broader U.S. military organizational structures.
    • Common Intelligence Community (IC) data repositories.
  • Demonstrated experience building, maintaining, and querying complex databases.
  • Deep understanding of intelligence analysis workflows and how data science enables mission success.
  • Exceptional communication skills-translating complex technical concepts for non-technical stakeholders.
  • Independent operator comfortable working in ambiguous, fast paced environments.

Apply