Data Scientist - Energy Analytics

Placements24; Stellenbosch; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Remote work allowance

Health insurance

Flexible hours

Development budget

Job summary

Placements24 invites a skilled Data Scientist to join a remote team focused on energy analytics. You will build ML models to improve exploration, production, and operations, working with seismic and production data to derive actionable insights.

The role emphasizes machine learning, statistical modeling, and data visualization, with a remote-first culture and opportunities for global impact.

Qualifications

• Master's or Ph.D. in Data Science, CS, Stats or related field.
• Strong portfolio of analytical projects in data science.
• Proficiency in Python or R with relevant ML libraries.
• Experience with big data technologies and database systems.
• Solid grounding in statistical modeling and ML algorithms.

Responsibilities

• Develop and implement ML models for predictive maintenance and optimization.
• Analyze seismic, production, and operational datasets to uncover insights.
• Design statistical analyses to identify trends and correlations.
• Create data visualizations and dashboards for technical and non-technical stakeholders.
• Collaborate with domain experts to define KPIs and analytics requirements.

Skills

Data science

Python/R

Machine learning

Statistical modeling

Data visualization

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

SQL/NoSQL

Job description

About the Role

Our client is looking for a talented and innovative Data Scientist with a passion for the energy sector to join their remote team. This role focuses on leveraging advanced data analytics, machine learning, and statistical modeling to derive actionable insights from large datasets related to oil and gas operations. You will play a crucial part in optimizing exploration, production, and operational efficiency through data-driven decision-making. This is an excellent opportunity for a self-motivated individual to work remotely and make a significant impact on the future of energy analytics.

Key Responsibilities

• Develop and implement machine learning models for predictive maintenance, performance optimization, and anomaly detection.
• Analyze large, complex datasets related to seismic data, production logs, and operational parameters.
• Design and conduct statistical analyses to identify trends, patterns, and correlations.
• Create compelling data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Collaborate with domain experts to define key performance indicators and analytical requirements.
• Stay abreast of the latest advancements in data science, machine learning, and AI relevant to the energy industry.

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 portfolio of analytical projects.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.

Benefits

• Highly competitive salary and remote work allowance.
• Flexible working hours and a remote-first culture.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, conferences, and online courses.
• Opportunity to work on cutting-edge projects with a global impact.