Senior Subsurface Data Scientist

Placements24; Willows (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary and bonus

Health, dental, vision insurance

Remote work flexibility

Professional development opportunities

Home office setup allowance

Job summary

Placements24 is seeking a Senior Subsurface Data Scientist to join a fully remote energy company. You will leverage data analytics, ML, and AI to extract insights from subsurface datasets and drive data-driven decisions across the organization.

The role requires collaboration with geoscientists and engineers worldwide, developing predictive models for seismic interpretation, reservoir characterization, and production forecasting, while leading data initiatives from a home office.

Qualifications

• Master's or Ph.D. in Data Science, CS, Stats, Geophysics, or related field.
• 5+ years applying data science and ML in oil and gas preferred.
• Proficient in Python or R with ML libraries.
• Strong SQL and large database experience.
• Understanding subsurface data types and geology/engineering concepts.

Responsibilities

• Design and deploy ML models for seismic interpretation and production forecasting.
• Analyze large subsurface datasets to identify trends and anomalies.
• Collaborate with geoscientists and engineers to define problems.
• Develop data pipelines for ingestion and processing.
• Build dashboards to communicate findings to stakeholders.
• Stay updated on ML/AI advances and subsurface applications.
• Contribute to data governance and best practices.
• Mentor junior data scientists and geoscientists.
• Present findings to technical and non-technical audiences.

Skills

Python

R

SQL

Machine learning

Data visualization

Communication

Education

Master's or Ph.D. in Data Science or related field

Tools

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

About the Role

Our client, a forward-thinking leader in the energy sector, is seeking an exceptional Senior Subsurface Data Scientist to join their fully remote workforce. This role is pivotal in leveraging advanced data analytics, machine learning, and AI to unlock insights from vast subsurface datasets. You will be instrumental in developing predictive models, optimizing exploration and production workflows, and driving data-driven decision-making across the organization. The ideal candidate will possess a strong blend of technical expertise in data science, machine learning, and a solid understanding of geoscience and petroleum engineering principles. This remote position requires outstanding collaboration and communication skills, as you will work closely with geoscientists, engineers, and other data professionals globally. We are looking for a visionary leader who can champion data initiatives and build innovative solutions to complex subsurface challenges. This is a unique opportunity to shape the future of subsurface analysis from your home office, contributing to cutting-edge projects and influencing strategic direction. If you are passionate about data and its application in the energy industry, this role based remotely near **Welkom, Free State, ZA** offers unparalleled challenges and rewards.

Key Responsibilities

• Design, develop, and deploy machine learning models for tasks such as seismic interpretation, reservoir characterization, and production forecasting.
• Analyze large and complex subsurface datasets (seismic, well logs, core data, production data) to identify trends, patterns, and anomalies.
• Collaborate with geoscientists and engineers to define business problems and translate them into data science solutions.
• Develop and implement data pipelines for efficient data ingestion, processing, and feature engineering.
• Build and maintain robust data visualization tools and dashboards to communicate findings effectively.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and explore their application in the subsurface domain.
• Contribute to the development of data governance and best practices within the organization.
• Mentor junior data scientists and geoscientists on data science techniques.
• Present findings and recommendations to technical and non-technical stakeholders.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Geophysics, Petroleum Engineering, or a related quantitative field.
• 5+ years of experience applying data science and machine learning techniques to solve complex problems, preferably in the oil and gas industry.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and working with large databases.
• Solid understanding of subsurface data types and geological/engineering concepts.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote, international team.
• Proven ability to manage projects independently and deliver high-quality results.

Benefits

• Highly competitive salary and performance-based bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and remote work flexibility.
• Retirement savings plan with employer matching.
• Opportunities for continuous learning, professional development, and conference participation.
• Home office setup allowance.
• Access to cutting-edge technology and data resources.
• Career growth potential within a leading energy company.