Senior Geoscience Specialist

Job Duties

Are you a geoscientist with strong programming and machine learning skills who wants to develop novel science to solve real subsurface challenges?

Join the geoscience research team at Landmark Software & Services where you will help develop new solutions that improve geological interpretation, reservoir understanding, and subsurface modelling. 

Key Responsibilities 

You will lead the development of cutting-edge geoscience research for novel subsurface workflows. Working with geoscientists, data scientists, and product teams you will translate geological concepts into robust computational methods, prototype new AI-enabled workflows, and proactively identify opportunities to advance domain technology. 

Required Qualifications & Skills 

• Degree in geoscience, geology, petroleum geoscience, computational geoscience, or a related discipline; completion of a master’s degree or PhD is preferred. 
• 10 years of relevant experience. 
• Strong geoscience expertise in areas such as stratigraphy, sedimentology, petroleum geology, reservoir characterization, or subsurface interpretation. 
• Experience working with subsurface datasets such as wireline logs, seismic, biostratigraphy, stratigraphic surfaces, maps, or reservoir models. 
• Strong Python programming skills and hands-on experience with scientific and machine learning libraries. 
• Excellent communication skills, with the ability to explain technical concepts clearly to geoscientists, software engineers, data scientists, and product stakeholders. 
• AI / ML Implementation 
• Design, implement, and test AI/ML methods that automate or enhance subsurface interpretation, prediction, and modelling. 
• Apply data-driven approaches to sparse, noisy, and heterogeneous geoscience datasets. 
• Develop methods that preserve geological realism, respect subsurface uncertainty, and improve the conditioning of geological models to available data. 
• Validate predictive models using blind tests, real-world datasets, geological quality checks, and product-relevant scenarios. 
• Collaboration & Innovation 
• Work closely with geoscientists, software engineers, data scientists, and product teams to turn research ideas into practical prototype workflows. 
• Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. 
• Lead and contribute to technical presentations, publications, patent disclosures, and internal knowledge-sharing activities. 

Qualifications

• PhD or equivalent research experience in geoscience, computational geoscience, machine learning, or a related field. 
• Proven application of AI/ML to geoscience, subsurface interpretation, reservoir modelling, or geological prediction problems. 
• Experience with energy-sector datasets, workflows, or software products. 
• Familiarity with geological process modelling, or uncertainty-aware subsurface workflows. 
• Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, colour, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.