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Gis Machine Learning Jobs in Oklahoma (NOW HIRING)

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Gis Machine Learning information

What are GIS Machine Learning jobs?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are some common challenges faced when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning Specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What are popular job titles related to Gis Machine Learning jobs in Oklahoma? For Gis Machine Learning jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Oklahoma look for? The top searched job categories for Gis Machine Learning jobs in Oklahoma are:
What cities in Oklahoma are hiring for Gis Machine Learning jobs? Cities in Oklahoma with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you

Corporate Development Geologist / Data Scientist

Expand Energy

Oklahoma City, OK

Other

Posted 7 days ago

Job description

Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.

Job Summary

The Corporate Development Geologist plays a critical role in evaluating and advancing the company's strategic growth initiatives by integrating geoscience expertise with advanced data analytics. This position supports mergers and acquisitions (M&A), asset evaluations, portfolio optimization, and newventure screening across the energy value chain. The ideal candidate brings strong subsurface interpretation skills combined with the ability to leverage modern data science tools-including Python, machine learning workflows, and largescale geospatial analysis-to generate actionable insights for investment decisions.

Job Duties & Responsibilities
  • Perform geological assessments of prospective acquisitions, divestitures, and joint ventures across conventional, unconventional, and emerging resource plays
  • Develop basin and playlevel evaluations to support longterm corporate strategy and target screening
  • Build geological risk assessments and volumetric estimates to support valuations and economic modeling
  • Provide technical inputs for M&A financial models, including production forecasts, decline curves, type curves, reserves, and valueimpact drivers
  • Collaborate with Corporate Development, Finance, Reservoir Engineering, and Data Science teams to synthesize geological insights into investment recommendations
  • Participate in diligence processes, including technical deep dives, data room reviews, and management team discussions
  • Prepare executivelevel presentations summarizing the geologic rationale and value proposition of strategic opportunities
  • Interpret and integrate subsurface datasets (well logs, cores, seismic, production data, geochemistry) to assess reservoir quality, productivity, and uncertainty
  • Use Python, SQL, and analytics libraries (e.g., pandas, NumPy, SciPy, scikitlearn) to automate workflows, analyze datasets, and build predictive models
  • Apply machine learning techniques to streamline technical and financial valuations
  • Build tools and dashboards using Power BI, Spotfire, or similar platforms to visualize geological, engineering, commercial and public datasets
  • Integrate large geospatial datasets (GIS layers, satellite imagery, digital elevation models) to support valuation and regional assessments
  • Partner with engineering and operations to evaluate development scenarios, spacing/stacking potential, and reservoir performance
  • Contribute to strategy initiatives such as CCUS site screening, geothermal feasibility, critical minerals potential, or energy transition subsurface evaluations
Job Specific Skills
  • Strong technical proficiency with geological software (e.g., Petrel, Kingdom, ArcGIS, Petra)
  • Handson experience with Python for data analysis, automation, or modeling
  • Familiarity with statistical analysis, uncertainty quantification, and machine learning workflows
  • Ability to integrate geoscience insights with economic and commercial perspectives
  • Strong communication skills with experience presenting to executives or nontechnical audiences
  • Ability to work across functions in a fastpace, dealoriented environment
  • Experience supporting M&A, corporate development, or asset A&D evaluations
  • Knowledge of SQL, cloud environments (Azure, AWS), and modern data pipelines
  • Experience building dashboards (Power BI, Spotfire, Tableau)
  • Background in unconventional reservoir evaluation, CCUS, geothermal, or emerging energy systems
  • Familiarity with decline curve analysis, type curve generation, and integration of geologic inputs into financial models
Education

Minimum: Bachelor's degree - from accredited university - Geology, Geophysics, Petrophysics, Earth Science or related field 

Preferred: Master's degree - from accredited university - Geology, Geophysics, Petrophysics, Earth Science or related field 

Experience

Minimum: 

  • 8-12 years of experience in corporate development, exploration, reservoir characterization, or subsurface evaluation

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.

Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.

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