Remote Petroleum Data Scientist

Placements24; Randburg; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Bonus

Fully remote

Health Insurance

Professional development

Job summary

Placements24 is seeking a forward-thinking Remote Petroleum Data Scientist to join our team, supporting global operations in the oil and gas lifecycle. You will leverage machine learning, statistical modeling, and advanced analytics to extract insights from large datasets, while collaborating with geologists, engineers, and domain experts.

This fully remote role offers flexible hours, a competitive compensation package, and access to cutting-edge technologies and professional development

Qualifications

• Master's or PhD in data-related field.
• Proven data science experience with ML/AI.
• Proficiency in Python or R and ML libraries.
• Experience with large datasets and big data tools.
• Remote-work collaboration and communication skills.

Responsibilities

• Develop ML models for reserve prediction and production optimization.
• Analyze geological and production datasets for trends.
• Build data pipelines for ingestion, processing, visualization.
• Collaborate with geologists and engineers.
• Communicate findings to stakeholders.
• Stay updated on ML advances in energy sector.

Skills

Data Science

Machine Learning

Statistics

Python

R

Education

Master's or PhD in Data Science

Tools

Spark

Hadoop

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client is seeking a forward-thinking Remote Petroleum Data Scientist to join their innovative team, supporting global operations. This role will leverage advanced data analytics, machine learning, and statistical modeling to extract valuable insights from vast datasets generated throughout the oil and gas lifecycle, from exploration to production. As a fully remote position, you will collaborate with multidisciplinary teams worldwide, driving data-driven decision-making and optimizing operational efficiency. This is an exciting opportunity to pioneer data science applications in the Oil & Gas industry and shape the future of resource management from your home office.

Key Responsibilities

• Develop and implement machine learning models for tasks such as reserve prediction, production optimization, and anomaly detection.
• Analyze large-scale geological, geophysical, and production datasets to identify trends and opportunities.
• Design and build data pipelines for efficient data ingestion, processing, and visualization.
• Collaborate with domain experts (geologists, engineers) to define analytical problems and solutions.
• Communicate complex findings and recommendations to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the energy sector.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, statistics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong focus on applying ML/AI techniques.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience working with large datasets and big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, data mining, and machine learning algorithms.
• Excellent communication and collaboration skills, essential for a remote role.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote position with flexible working hours.
• Comprehensive health, dental, and vision insurance.
• Access to cutting-edge technologies and professional development resources.
• Opportunity to work on impactful projects within the evolving Oil & Gas landscape.