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Spatial Data Science Jobs in Texas (NOW HIRING)

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science ... Experience with GIS tools and spatial data analysis. * Understanding of data governance and ...

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science ... Experience with GIS tools and spatial data analysis. * Understanding of data governance and ...

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science ... Experience with GIS tools and spatial data analysis. * Understanding of data governance and ...

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models ... and spatial analysis techniques to support scenario planning. * Conduct simulations to evaluate ...

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models ... and spatial analysis techniques to support scenario planning. * Conduct simulations to evaluate ...

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 ...

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 ...

Software Engineer - Human Motion Data

Austin, TX · 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 ...

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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 22, 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:
Infographic showing various Spatial Data Science job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 12% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Data Analyst

Other

Posted 29 days ago


Job description

Job Title: Data Analyst

 

Who we are

Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ties our operating companies together and allows us to best serve our clients. We are a team of thinkers, problem solvers, and industry experts who collectively deliver the right solution for our clients.   

Who you are

You appreciate the client relationship and understand that delivering an excellent experience to the client is critical to success.  You enjoy problem solving and are able to think and react quickly; you have a keen eye for detail and are able to multi-task; and able to work collaboratively with multiple stakeholders.  You are self-motivated and able to work with little to no supervision; you practice good time management, and you consistently take the initiative to get things done; and take action on matters before being asked by others or forced by event. You are naturally curious, malleable in your approach, and don’t mind if every day looks a little different. You have appreciation for attention to detail, you’re a team player and work towards achieving common goals for the client. You’re honest and respectful in your communication style and when things go astray, you understand that it’s an opportunity to learn, take accountability and create a path forward.

Position Overview:
We are seeking a highly skilled and detail-oriented Data Analyst to support our consulting projects and operational functions. This role will focus on developing and managing work management solutions and creating insightful PowerBI dashboards. The successful candidate will analyze data sets, design efficient workflows, and deliver actionable insights to enhance decision-making processes across our organization. This is an in-office role

Key Responsibilities:

  • Analyze complex data sets to identify trends, patterns, and actionable insights to support consulting projects and operational objectives.
  • Design, build, and optimize workflows to streamline data collection, processing, and reporting processes.
  • Develop, manage, and maintain interactive dashboards in PowerBI to visualize key performance metrics and project outcomes.
  • Collaborate with cross-functional teams, including consultants, project managers, and field operations, to gather requirements and ensure data solutions align with business needs.
  • Ensure the accuracy, integrity, and security of data by implementing best practices in data management and quality assurance.
  • Provide technical expertise in work management solutions, integrating data from various sources to create seamless operational workflows.
  • Deliver reports and presentations to stakeholders, explaining complex data findings in a clear and concise manner.
  • Identify opportunities for process improvements and contribute to the continuous enhancement of data-driven operations.
  • Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation.
  •  

Qualifications:

  • Bachelor’s degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master’s degree preferred.
  • Minimum of 5 years of experience in data analysis, workflow optimization, and dashboard creation.
  • Proficiency in PowerBI for data visualization and reporting.
  • Strong skills in SQL for querying and managing data from relational databases.
  • Experience with workflow management tools and platforms (e.g., Fulcrum, FastField, or similar).
  • Excellent problem-solving and analytical skills, with the ability to translate complex data into actionable insights.
  • Strong communication and interpersonal skills, with the ability to work collaboratively with diverse teams.
  • Self-motivated and able to manage multiple projects and deadlines effectively.
  • Familiarity with utility or infrastructure-related data is a plus.

Preferred Skills:

  • Knowledge of programming languages such as Python or R for advanced data analysis.
  • Experience with GIS tools and spatial data analysis.
  • Understanding of data governance and compliance requirements.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunity to work on impactful consulting projects with cross-industry exposure.
  • Collaborative and innovative work environment.
  • Professional development and growth opportunities.