Remote Upstream Data Scientist: Reservoir ML & Forecasting

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary and bonus

Fully remote role with flexible hours

Professional development opportunities

Job summary

Placements24 in South Africa is seeking a highly analytical Data Scientist for upstream Oil & Gas, a fully remote role leveraging advanced analytics to optimize exploration and production. You will develop and deploy ML models for reservoir characterization, production forecasting, and anomaly detection, working with seismic, well logs, and production data.

Collaborating with geoscientists and engineers, you will build data pipelines, dashboards, document methodologies, and stay at the forefront

Qualifications

• Minimum 6 years of experience as a Data Scientist in upstream Oil & Gas.
• Proficiency in Python or R and ML libraries.
• Strong SQL and database management skills.
• Experience with big data technologies is a plus.

Responsibilities

• Develop and deploy ML models for reservoir characterization, production forecasting, and anomaly detection.
• Analyze large datasets from seismic, well logs, production, and operations.
• Build data pipelines and ensure data quality and integrity.
• Collaborate with geoscientists, reservoir engineers, and drilling engineers to understand data needs.
• Develop data visualizations and dashboards to communicate findings.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Design and conduct A/B tests and other experiments to validate models and hypotheses.
• Document methodologies, findings, and model performance.

Skills

Data science expertise

Python or R

SQL

Statistical modeling

Machine learning

Education

Master's degree or PhD in a quantitative field

Tools

scikit-learn

TensorFlow/PyTorch

Spark

Hadoop

Job description

Placements24 in South Africa is seeking a highly analytical Data Scientist for upstream Oil & Gas, a fully remote role leveraging advanced analytics to optimize exploration and production. You will develop and deploy ML models for reservoir characterization, production forecasting, and anomaly detection, working with seismic, well logs, and production data.

Collaborating with geoscientists and engineers, you will build data pipelines, dashboards, document methodologies, and stay at the forefront