Upstream Data Scientist (Hybrid) — Energy Analytics

Placements24; Queenstown; Hybrid; NZD 95,000 - 137,000; Full time

Benefits offered by this job

Competitive salary package

Performance bonuses

Medical aid & retirement fund

Hybrid work arrangement in Queenstown

Job summary

Placements24 is seeking an experienced Upstream Data Scientist to enhance efficiency and decision-making in Queenstown, Eastern Cape. You will leverage ML, statistical modeling, and large upstream datasets (seismic, well logs, production) to extract insights and drive optimization.

Collaborate with geoscientists, reservoir engineers, and production engineers to translate complex findings into business actions. Hybrid remote/on-site work is supported in a dynamic energy-sector environment.

Qualifications

• Master's degree or Ph.D. in a quantitative field.
• Minimum 5 years’ experience as a Data Scientist in upstream Oil & Gas.
• Proficiency in Python or R and ML libraries.
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure).

Responsibilities

• Develop and implement machine learning models for upstream applications.
• Analyze large, complex datasets from exploration and production activities.
• Build data visualizations and dashboards to communicate insights to stakeholders.
• Collaborate with domain experts to define analytical problems and data requirements.
• Perform statistical analysis, data mining, and hypothesis testing.
• Develop and maintain data pipelines and workflows for upstream data.
• Evaluate and recommend new data science tools and technologies.
• Contribute to data-driven strategies for exploration and production.
• Ensure data quality and integrity throughout the analytical process.

Skills

Analytical thinking

Communication

Problem solving

Data-driven decision making

Education

Master's or PhD in a quantitative field

Tools

Python

R

Spark

Hadoop

AWS

Azure

Job description

Placements24 is seeking an experienced Upstream Data Scientist to enhance efficiency and decision-making in Queenstown, Eastern Cape. You will leverage ML, statistical modeling, and large upstream datasets (seismic, well logs, production) to extract insights and drive optimization.

Collaborate with geoscientists, reservoir engineers, and production engineers to translate complex findings into business actions. Hybrid remote/on-site work is supported in a dynamic energy-sector environment.