Subsurface Data Scientist

Placements24; Queenstown; Remote; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Job summary

Placements24 is seeking a Subsurface Data Scientist to join a fully remote, international team developing advanced ML models for seismic interpretation, well log analysis, and production forecasting. You will work with geoscientists, reservoir engineers, and IT professionals to unlock insights from complex subsurface datasets.

The ideal candidate has 5+ years in data science, strong Python or R skills, and hands-on ML experience with TensorFlow/PyTorch and data visualization tools.

Qualifications

• Master's or PhD in a quantitative field related to data science.
• Minimum of 5 years' experience applying ML and statistical modeling.
• Proficiency in Python or R and core libraries (scikit-learn, Pandas).
• Experience with large subsurface datasets or Oil & Gas data preferred.

Responsibilities

• Develop and deploy ML models for seismic interpretation and well log analysis.
• Process and integrate large subsurface datasets from diverse sources.
• Collaborate with geoscientists and engineers to define analytical approaches.
• Perform statistical analysis and create data visualizations to reveal insights.
• Design experiments and A/B tests to assess model performance and impact.
• Build data pipelines and automate model deployment workflows.
• Communicate complex findings to technical and non-technical stakeholders.
• Stay updated on advances in ML and AI applicable to subsurface data.
• Contribute to data governance and reproducible research practices.
• Document methodologies, code, and results for knowledge sharing.

Skills

Python

R

Machine Learning

Statistics

Communication

Education

Master's degree in Data Science

PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

Tableau

Power BI

Matplotlib

AWS/Azure/GCP

Job description

About the Role

Our client, a global leader in subsurface data analytics for the Oil & Gas industry, is seeking a highly skilled Subsurface Data Scientist to join their innovative and fully remote team. This role is crucial for unlocking the potential of vast subsurface datasets through advanced machine learning, statistical modeling, and data mining techniques. The Subsurface Data Scientist will develop and implement data-driven solutions to address complex challenges in exploration, reservoir characterization, and production optimization. Operating within a remote-first environment, you will collaborate with geoscientists, reservoir engineers, and IT professionals to drive data-driven decision-making across global projects. We are looking for a passionate data expert with a strong understanding of Oil & Gas subsurface domains and a proven ability to build and deploy sophisticated analytical models. This is an exceptional opportunity to leverage cutting-edge technologies and contribute to significant advancements in energy exploration and production from the convenience of your home office.

Key Responsibilities

• Develop, implement, and deploy machine learning models and algorithms for subsurface data analysis (e.g., seismic interpretation, well log analysis, production forecasting).
• Clean, process, and integrate large and complex subsurface datasets from various sources.
• Collaborate with domain experts (geologists, geophysicists, reservoir engineers) to understand challenges and define analytical approaches.
• Perform statistical analysis and data visualization to identify trends, patterns, and insights within subsurface data.
• Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
• Develop and maintain data pipelines and workflows for automated data processing and model deployment.
• Communicate complex analytical findings and recommendations to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the Oil & Gas industry.
• Contribute to the development of best practices for data management, governance, and ethical AI in subsurface applications.
• Document methodologies, code, and results thoroughly for reproducibility and knowledge sharing.

Requirements

• Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Physics, Petroleum Engineering, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a significant focus on applying machine learning and statistical modeling techniques.
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience working with large, complex datasets, preferably within the Oil & Gas industry (e.g., seismic, well logs, production data).
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote, distributed team.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
• Must have a reliable home office setup with high-speed internet connectivity.

Benefits

Our client offers a highly competitive salary, comprehensive health benefits, and a performance-based bonus structure. This fully remote position provides excellent flexibility and work-life balance, allowing you to work from anywhere. Employees have access to continuous professional development, training, and opportunities to work with cutting-edge technologies. We foster a collaborative and innovative remote culture. Join a leading company shaping the future of subsurface data analytics in the energy sector.