Remote Subsurface Data Scientist - AI/ML Focus

About the Role

Our client, a forward-thinking leader in the global Oil & Gas industry, is actively seeking a highly skilled Remote Subsurface Data Scientist with a strong focus on Artificial Intelligence and Machine Learning. This is a fully remote position, allowing you to contribute from anywhere within South Africa. You will be instrumental in developing and implementing advanced AI/ML models to unlock insights from complex subsurface data, including seismic, well logs, core data, and production information. Your work will directly impact exploration success, reservoir characterization, and production optimization strategies worldwide. This is a unique opportunity to leverage cutting-edge data science techniques in a challenging and rewarding domain, driving innovation within a company committed to technological advancement in the energy sector.

You will collaborate with a global team of geoscientists, engineers, and data professionals, pushing the boundaries of what's possible with subsurface data analysis.

Key Responsibilities

• Design, develop, and deploy machine learning models for subsurface data analysis (e.g., seismic interpretation, well log prediction, facies classification, production forecasting).
• Process and manage large, complex subsurface datasets, ensuring data quality and integrity.
• Apply advanced statistical and computational techniques to extract meaningful insights.
• Collaborate closely with geoscientists and petroleum engineers to understand their data challenges and provide data-driven solutions.
• Develop and maintain robust data pipelines and feature engineering workflows.
• Evaluate and implement new AI/ML tools and technologies relevant to the subsurface domain.
• Communicate complex findings and model results effectively to both technical and non-technical audiences through reports and presentations.
• Contribute to the development of a data-driven culture within the subsurface community.
• Stay current with research and advancements in data science, AI/ML, and their applications in the Oil & Gas industry.
• Document methodologies, code, and results thoroughly.

Requirements

• Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Geophysics, Petroleum Engineering, or a related quantitative field with a strong AI/ML focus.
• Minimum of 5 years of experience applying AI/ML techniques to real-world problems, with significant experience in the Upstream Oil & Gas sector .
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas).
• Expertise in machine learning algorithms, deep learning, and statistical modeling.
• Experience with subsurface data types (seismic, well logs, core data) is highly desirable.
• Strong SQL skills and experience with cloud platforms (AWS, Azure, GCP) are a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, capable of working effectively in a remote team.
• Ability to work independently and manage multiple projects simultaneously.

Benefits

Our client offers an exceptional remote compensation package, including a competitive salary, performance bonuses, and comprehensive health benefits. Significant investment in professional development, including access to advanced training, conferences, and cutting-edge tools, is provided. Enjoy the ultimate flexibility of working remotely while contributing to impactful projects in the global energy sector. Additional benefits include life insurance and wellness programs. This role offers a challenging and rewarding career path for ambitious data scientists.