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Spatial Statistics Jobs (NOW HIRING)

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

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

A.C. Coy

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · Hybrid

$98K - $124K/yr

Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.

Esri

Sr. GIS Solution Engineer- Health & Sciences

Vienna, VA · On-site

$55.50 - $71.50/hr

Demonstrated experience in spatial data science and advanced spatial analysis, including geoprocessing, spatial statistics, and deriving insights from structured and unstructured data Questions about ...

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How much do spatial statistics jobs pay per year?

As of Jul 5, 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 job?

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 are the key skills and qualifications needed to thrive in the Spatial Statistics position, and why are they important?

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.

How much do GIS earn?

Geographic Information Systems (GIS) professionals, including those in spatial statistics, typically earn between $50,000 and $90,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in spatial analysis and GIS software can earn higher salaries, especially in specialized or high-demand sectors.

What does a spatial analyst do?

A spatial analyst uses geographic information systems (GIS) and spatial data to analyze patterns, relationships, and trends in geographic space. They create maps, models, and reports to support decision-making in fields like urban planning, environmental management, and transportation. Proficiency in GIS software and spatial statistics is essential for this role.

What is the highest paying GIS job?

The highest paying GIS jobs are often senior roles such as GIS Managers, Geospatial Directors, or GIS Consultants with extensive experience and advanced skills in spatial analysis, programming, and data management. These positions typically require a strong background in GIS software like ArcGIS or QGIS, along with certifications and leadership responsibilities, and can offer salaries exceeding $100,000 annually depending on the industry and location.

Is GIS a high demand job?

GIS (Geographic Information Systems) specialists, including those with skills in spatial statistics, are in high demand across industries such as urban planning, environmental management, and transportation. The growing use of spatial data analysis and GIS tools like ArcGIS and QGIS contributes to strong job prospects and competitive salaries in this field.

What are some typical projects or tasks a Spatial Statistics professional might handle on a daily basis?

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.

More about Spatial Statistics jobs
What are the most commonly searched types of Spatial Statistics jobs? The most popular types of Spatial Statistics jobs are:
What states have the most Spatial Statistics jobs? States with the most job openings for Spatial Statistics jobs include:
What job categories do people searching Spatial Statistics jobs look for? The top searched job categories for Spatial Statistics jobs are:
Spatial Statistics jobs near you
Bayesian Statistician (Data Scientist) - Aurora, CO

Bayesian Statistician (Data Scientist) - Aurora, CO

ICR, Inc.

Aurora, CO

$78K - $236K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

Bayesian Statistician (Data Scientist)
Aurora, CO
Applications will be accepted on an ongoing basis.

ICR has opportunities available for experienced and motivated Data Scientists with a Bayesian statistics background.
Essential Job Responsibilities
This Data Scientist will be expected to:
  • Work independently on complex technical tasks that require in-depth data analysis methodologies and data/information collection
  • Develop unique technical solutions for applications in the intelligence field
  • Participate as a member of a multidisciplinary team to analyze and satisfy customer requirements
  • Develop, implement, validate, document, and present findings of specialized analysis software tools and models as required
  • Effectively handle concurrent technical tasks with conflicting priorities
  • Approach difficult problems with enthusiasm and creativity
  • Have the ability to change focus when necessary
  • Travel (up to 10%)

Required Skills and Qualifications
  • Active Top Secret Security Clearance with SSBI and SCI eligibility.
  • Experience with Bayesian statistics and time series analysis
  • Masters Degree in statistics with a minimum of Two (2) years of professional experience or PhD in statistics or related field
  • Experience with computational analysis tools and developing software with at least one of the following programing language: Python (preferred), R, C++, MATLAB
  • Experience with developing and applying advanced statistical/machine learning models and algorithms for one or more of the following: classification, clustering, anomaly detection, density estimation, data mining, pattern recognition, knowledge discovery
  • Experience with extracting and processing structured/unstructured data from various sources (e.g. databases, text files, web) and preparing data for analysis
  • Collaborate with others in a multidisciplinary team environment to accomplish research goals
  • Ability to work effectively in small-team settings to solve complex problems
  • Ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts
  • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information to customers

Desired Qualifications
  • Experience with the intelligence community
  • Broad knowledge of statistical analysis, ML methods, and problem-solving skills
  • Experience with: spatial statistics, multivariate statistics, Gaussian Process, Random Forest, Support Vector Machine, Natural Language Processing, Neural Networks
  • Proficient with Python, Jupyter, Markdown
  • Experience working with databases such as SQL and/or ELK stack
  • Experience with creating data visualizations / dashboards
Salary Range: $78,853 - $236,579
This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, flexible paid time off policy, and opportunity for a raise and bonus during the year.
ICR, Inc. considers several factors when extending job offers, including but not limited to candidates’ key skills, relevant work and/or military experience, education, training certifications and work location.
ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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