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Machine Learning Oil Gas Industry Jobs (NOW HIRING)

Valve company in Oil & Gas Industry

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Inside Sales

Lafayette, LA · On-site

$30K - $50K/yr

Inside sales involving valves & related equipment for the oil & gas industry. Candidate with previous experience in this aspect of the industry preferred but not required. Strong communication skills ...

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Machine Learning Oil Gas Industry information

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$26

$48

How much do machine learning oil gas industry jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for machine learning oil gas industry in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Oil Gas Industry vs Data Scientist Oil Gas Industry?

AspectMachine Learning Oil Gas IndustryData Scientist Oil Gas Industry
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentField data analysis, modeling for exploration, production optimizationData analysis, modeling, and visualization within corporate or research settings
Employer & Industry UsageOil & gas companies applying ML for predictive maintenance, reservoir modelingOil & gas firms analyzing data trends, developing insights for decision-making

Machine Learning professionals in the oil and gas industry focus on developing algorithms and models to optimize operations, while Data Scientists analyze data to generate insights. Both roles require similar educational backgrounds and work within the same industry, but their core functions differ in application and scope.

What are the key skills and qualifications needed to thrive as a Machine Learning professional in the Oil and Gas Industry, and why are they important?

To thrive as a Machine Learning professional in the Oil and Gas industry, you need a solid background in data science, programming (typically Python), and domain knowledge in petroleum engineering or geosciences, usually supported by a relevant degree. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), data visualization tools, and familiarity with industry-specific software like Petrel or OSIsoft PI are often required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical findings to non-technical stakeholders make candidates stand out. These competencies are crucial for developing effective predictive models, optimizing operations, and driving innovation in a highly technical and safety-focused industry.

What are machine learning jobs in the oil and gas industry?

Machine learning jobs in the oil and gas industry involve applying data-driven algorithms and artificial intelligence to improve exploration, production, and operational efficiency. Professionals in these roles analyze large datasets from sensors, seismic surveys, and equipment to optimize drilling, predict equipment failures, and streamline supply chains. Their work helps companies reduce costs, increase safety, and make better strategic decisions. Common positions include data scientist, machine learning engineer, and AI specialist, often working closely with geologists and engineers.

How does a Machine Learning professional in the oil and gas industry typically collaborate with geoscientists and engineers?

Machine Learning professionals in the oil and gas industry frequently work alongside geoscientists and engineers to analyze large datasets, such as seismic surveys or production logs, and develop predictive models that support exploration, drilling, and production optimization. Collaboration often involves regular meetings to understand domain-specific challenges, translating them into data science problems, and iteratively refining models based on technical feedback. Effective communication and an understanding of industry-specific data are essential for ensuring that machine learning solutions are practical, interpretable, and aligned with business goals.
Planner Scheduler (oil & gas industry)

Planner Scheduler (oil & gas industry)

RIGUP -Midstream Oil & Gas

Houston, TX • On-site

Temporary

Medical, Dental, Vision

Posted 22 days ago

Job description

Industry: Oil & Gas

Job Duration: Long term temporary

Pay rate: Open for negotiation 

Location: Houston, TX 77002


Summary

  • The Scheduler plays a crucial role in managing project timelines and resources to ensure successful project delivery.
  • This position involves developing detailed schedules, allocating resources efficiently, tracking progress, and maintaining effective communication with stakeholders to align project goals and timelines.
  • Develop and maintain comprehensive project schedules
  • Plan and allocate resources to optimize project efficiency
  • Track project progress and update schedules accordingly
  • Coordinate with stakeholders to align on project timelines and deliverables
  • Prepare and present progress reports to project teams and management
  • Manage changes in project scope or schedule and adjust plans accordingly

Preferred Qualifications

  • 5-10 years of experience in project scheduling