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Geospatial Data Scientist Jobs in Texas (NOW HIRING)

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Data Scientist

Houston, TX · On-site

$140 - $190/hr

... Data Scientist to join our team ... In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ...

New

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Develops APIs and microservices for spatial data access and integration. * Applies spatial analysis ... Bachelor's degree in Computer Science, Geographic Information Systems (GIS), Computer Programming ...

Senior Data Scientist

San Antonio, TX · On-site

$99K - $225K/yr

R0246115 Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the ... Experience with geospatial data analysis tools such as Brewlytics, JEMA, or ArcPro * Knowledge of ...

Showing results 21-40

Geospatial Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do geospatial data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for geospatial data scientist in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What are the most commonly searched types of Geospatial Data Scientist jobs in Texas?

The most popular types of Geospatial Data Scientist jobs in Texas are:

What are popular job titles related to Geospatial Data Scientist jobs in Texas?

For Geospatial Data Scientist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Texas look for?

The top searched job categories for Geospatial Data Scientist jobs in Texas are:

What cities in Texas are hiring for Geospatial Data Scientist jobs?

Cities in Texas with the most Geospatial Data Scientist job openings:

Infographic showing various Geospatial Data Scientist job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,350 per year, or $55 per hour.

Full-time

Posted 15 days ago


Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.