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Spatial Data Science Jobs in Texas (NOW HIRING)

Data Systems Analysts, Inc.

GIS Analyst

Kingsville, TX · On-site

Creating and managing spatial data from multiple sources * Field data collection using GPS * Integrating GPS data into GIS systems * Bachelor's degree in Geology, Earth Science, GIS, or related field

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

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

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

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

City of Amarillo Texas

GIS ANALYST I

Amarillo, TX · 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 ...

Aspira

Principal Data Engineer

Austin, TX · On-site

You will work closely with data scientists, analysts, product managers, and engineering teams to ... spatial data frameworks * Familiarity with modern orchestration and data tooling such as Dagster.

Apple

Applied Scientist

Austin, TX · On-site

... in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML ...

Varsity Tutors

AP Human Geography Tutor

Dallas, TX · Remote

$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 ...

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Spatial Data Science information

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$41.5K

$120.9K

$165.4K

How much do spatial data science jobs pay per year?

As of Jun 10, 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 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 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:
Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.