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Spatial Data Science Jobs in Texas (NOW HIRING)

GIS Specialist I

Missouri City, TX ยท On-site

$44K - $66K/yr

Performs data collection, field assignments, and spatial analysis for engineering, planning ... Education, Experience, or Certification Bachelor's degree in Geography, Geospatial Science, GIS ...

GIS ANALYST I

Amarillo, TX ยท On-site

$20.68 - $30.91/hr

... spatial data, ensuring it's accurate, usable, and up to date within established standards and ... MINIMUM REQUIREMENTS Typically requires a Bachelor's Degree in GIS, Geography, Earth Science ...

Software Engineer - Human Motion Data

Austin, TX ยท On-site

$113K - $136K/yr

... spatial data, including motion capture, teleoperation tracking, or AI-driven motion generation โ€ข ... Science, or a related highly technical field โ€ข 2+ years of industry or applied research ...

Software Engineer - Human Motion Data

Austin, TX ยท On-site

$113K - $136K/yr

... spatial data, including motion capture, teleoperation tracking, or AI-driven motion generation. โ€ข ... Science, or a related highly technical field. โ€ข 2+ years of industry or applied research ...

GIS Analyst

Houston, TX ยท On-site +1

... spatial analyses, and data visualizations to inform decision-making across a range of transportation infrastructure projects. This role partners closely with environmental scientists, engineers, and ...

Software Engineer - Human Motion Data

Austin, TX ยท On-site

$113K - $136K/yr

Experience building or maintaining pipelines for spatial data, including motion capture ... A BS or MS degree in Robotics, Mechanical Engineering, Computer Science, or a related highly ...

GIS Analyst

Houston, TX ยท On-site +1

... spatial analyses, and data visualizations to inform decision-making across a range of transportation infrastructure projects. This role partners closely with environmental scientists, engineers, and ...

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Spatial Data Science information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do spatial data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for spatial data science in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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 GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

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.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships 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, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

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 Texas? For Spatial Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Texas look for? The top searched job categories for Spatial Data Science jobs in Texas are:
GIS Specialist I

GIS Specialist I

City of Missouri City

Missouri City, TX โ€ข On-site

$44K - $66K/yr

Other

Posted 21 days ago


Job description

Definition The City of Missouri City, known as the"Show Me City," is seeking an entry-level, full-time Specialist position within the City's Technology & Innovation Department. The GIS Specialist I performs professional geospatial work, including maintaining and enhancing the City's enterprise GIS datasets, producing complex maps and spatial analyses, supporting system integrations, and assisting with GIS-related projects. This role collaborates closely with multiple City departments to support operational needs, planning efforts, and strategic initiatives through accurate and reliable geospatial data.

Examples of Work Performs advanced spatial analysis and create GIS datasets, maps, reports, dashboards, and exhibits to support City projects and decision-making. Performs data collection, field assignments, and spatial analysis for engineering, planning, infrastructure, and public safety initiatives. Collects, processes, and maintains GPS and mobile mapping data for City assets and other spatial datasets.

Maintains utility, infrastructure, and land-based GIS data by acquiring source documents, updates records, checks topology and data integrity, and logs changes. Assesses and fulfills internal and external GIS data requests; applies GIS principles to support efficient project management and strategic outcomes. Administers desktop GIS software, performs system updates, installs service packs and patches, and provides user support for GIS applications, hardware, and databases.

Manages GIS-related projects, ensuring proper resource allocation, timeline adherence, and successful delivery of project objectives. Assists all City departments with cartographic products, spatial data creation, analysis needs, and development of GIS-based solutions using quality control standards. Coordinates with departments to ensure documentation and workflows support accurate, up-to-date GIS data maintenance.

Customizes GIS applications, maintains departmental datasets, updates City map books, and creates AGOL/Portal maps and apps for internal and public use. Operates and maintains specialized GIS equipment including plotters, GPS units, software, and related supplies. Performs other related duties as assigned.

Subject to 24-hour recall. Education, Experience, or Certification Bachelor's degree in Geography, Geospatial Science, GIS, Computer Science, Urban Planning, Engineering, Environmental Science, or a closely related field. One (1) year of relevant professional GIS experience, including use of ArcGIS Desktop/Pro, ArcGIS Online/Enterprise, GPS data collection, and spatial analysis.