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Geospatial Data Scientist Jobs in Oklahoma (NOW HIRING)

Strayos

$13 - $17.50/hr

If you love using innovative technology to tackle tough science problems and working in a fast ... Experience working with aerial or satellite imagery and geospatial data. Employment Type: INTERN

Diamondbackenergy

Lead GIS Analyst

Oklahoma City, OK · On-site

Integrate geospatial and operational data across multiple business systems to support enterprise ... Bachelor's Degree in GIS, Geography, Computer Science, Engineering, or a related field. * Minimum ...

Diamondback Energy

Lead GIS Analyst

Oklahoma City, OK · On-site

Integrate geospatial and operational data across multiple business systems to support enterprise ... Bachelor's Degree in GIS, Geography, Computer Science, Engineering, or a related field. * Minimum ...

Diamondback E&P LLC

Lead GIS Analyst

Oklahoma City, OK · On-site

$100 - $150/hr

Integrate geospatial and operational data across multiple business systems to support enterprise ... Bachelor\'s Degree in GIS, Geography, Computer Science, Engineering, or a related field. * Minimum ...

Flywheel Energy, LLC

Team Lead of GIS

Oklahoma City, OK · On-site

$110 - $170/hr

As department head, this individual leads spatial data standardization, drives standard process ... Science; advanced degree or equivalent industry experience considered.* 5-8+ years of geospatial ...

All JobsGeospatial Data Scientist JobsGeospatial Data Scientist Jobs in Oklahoma

Geospatial Data Scientist information

See Oklahoma salary details

$34.6K

$113.3K

$181.4K

How much do geospatial data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for geospatial data scientist in Oklahoma is $113,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $125,600.00 per year, depending on experience, location, and employer.

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 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.

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.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

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

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

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

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

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,329 per year, or $54.5 per hour.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Internship

Re-posted 20 days ago

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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