Remote Senior Subsurface Data Scientist for Seismic AI

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

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.