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Spatial Statistics Jobs (NOW HIRING)

GRVTY

Geospatial Analyst - Mid

Falls Church, VA · On-site

... spatial-temporal analysis and statistics of data holdings to support imagery curation, utilizing knowledge of: • Elevation and terrain datasets • Customer-directed prioritization criteria ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Spatial statistics and analysis * Big data processing tools * Version control systems (Git) * Jupyter notebooks * Data preprocessing and feature engineering * Model evaluation and validation ...

State of South Carolina

Geospatial Analyst II-61006019

Cayce, SC · On-site

$62K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

To include statistical analysis, processing, automation of spatial data and advanced cartographic products. Emphasis will be placed on supporting Emergency Response and Health related Deputy Areas.

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Spatial statistics and analysis * Big data processing tools * Version control systems (Git) * Jupyter notebooks * Data preprocessing and feature engineering * Model evaluation and validation ...

GeoSearch

Geospatial Analyst III

Fairfax, VA

$77K - $99K/yr

Conduct network, proximity, suitability, spatial statistics, and geoprocessing analyses. * Support GIS-based decision-making through data-driven insights and recommendations. * Work extensively with ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Spatial statistics and analysis * Big data processing tools * Version control systems (Git) * Jupyter notebooks * Data preprocessing and feature engineering * Model evaluation and validation ...

kgs

Data Scientist

Cape Canaveral, FL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Spatial statistics and analysis * Big data processing tools * Version control systems (Git) * Jupyter notebooks * Data preprocessing and feature engineering * Model evaluation and validation ...

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How much do spatial statistics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for spatial statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a spatial statistics?

A Spatial Statistics job involves analyzing and interpreting spatial data to identify patterns, relationships, and trends across geographic space. Professionals in this field use statistical techniques, geographic information systems (GIS), and data modeling to support decision-making in areas such as environmental science, urban planning, public health, and transportation. They work with large datasets, apply geostatistical methods, and create visual representations like maps and heatmaps. Common roles include spatial data analyst, GIS specialist, and environmental statistician.

What does a spatial statistics professional do?

Spatial Statistics professionals often work on projects involving the collection, analysis, and interpretation of location-based data to identify patterns, trends, and relationships within geographic spaces. Daily tasks can include cleaning and integrating spatial datasets, developing statistical models, running geospatial analyses, and creating maps or visualizations to communicate findings. Collaboration with urban planners, environmental scientists, data scientists, or public health professionals is common to solve real-world problems using spatial insight. The work environment can be a blend of independent data analysis and teamwork, and many positions offer opportunities for growth into project management, advanced analytics, or GIS leadership roles.

What are the key skills and qualifications needed to thrive in the spatial statistics position?

To thrive in a Spatial Statistics role, you need a solid background in advanced mathematics, statistical modeling, and spatial data analysis, typically with a degree in statistics, geography, or a related quantitative field. Familiarity with GIS software (e.g., ArcGIS, QGIS), statistical programming languages (such as R or Python), and spatial databases is essential, and certifications in GIS or data science can be advantageous. Strong problem-solving skills, effective communication, and attention to detail enable you to interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for analyzing geospatial patterns, presenting actionable insights, and supporting data-driven decision-making across various industries.

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Spatial Statistics jobs near you
Infographic showing various Spatial Statistics job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Geospatial Analyst - Mid with Security Clearance

GRVTY

Falls Church, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

What Impact You'll Have GRVTY is seeking a motivated and experienced Geospatial Analyst to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm training and evaluation. 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 challenges. This role will drive solutions that improve the quality, diversity, and representativeness of datasets powering ML model development pipelines. What You'll be Owning * Leverage multi-INT data to curate imagery from emerging capabilities, with curated imagery prioritized for: * Creation of labeled data to support the model development pipeline * Meeting set criteria and characteristics (e.g., geographic coverage, scene attributes) per customer prioritization * Based on the characteristics and limitations of new data, recommend curation strategies and identify data gaps to develop a diverse, representative dataset for Machine Learning model development * Identify techniques and methods to conduct data mining and retrieval, applying statistical and mathematical analyses to: * Identify trends and solve problems * Optimize performance * Develop and apply methods by collecting, processing, and analyzing large volumes of data to build and enhance products, processes, and systems * Visualize information using a range of tools, scripts, and algorithms to: * Create explanatory and predictive models * Conduct comparative and alternative analysis to address complex military and intelligence challenges * Conduct spatial and spatial-temporal analysis and statistics of data holdings to support imagery curation, utilizing knowledge of: * Elevation and terrain datasets * Customer-directed prioritization criteria including geographic coverage and scene attributes * Exploit imagery and analyze geospatial data utilizing GEOINT tradecraft, critical thinking skills, and data science principles, including tools such as: * RemoteView * Cedalion * ArcGIS Pro * Jupyter Notebook * Utilize programming, statistics, and visualization methods to glean insights from large and disparate data sources * Select methods and practices to conduct multi-INT research, descriptive analyses, and exploitation of intelligence databases and sources * Implement technical knowledge of GA tradecraft including GIS analyses such as: * Viewshed / Line of Sight (LOS) * Mobility and Order of Battle * Geospatial Synthesis and Modeling * Simulation and Terrain Analysis * Spatial Statistics What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI/Poly * Experience with imagery analytical products and conducting multi-INT analysis * Ability to utilize structured, unstructured, and semi-structured data and visualization tools to exploit data through programming and scripting, including: * Advanced geospatial skills * Strong understanding of how to apply evolving technology and methodologies to related issues What Would be Nice to Have * Experience working with or developing Machine Learning algorithms for exploiting overhead imagery and/or motion imagery products

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