Data Scientist - Energy Analytics
Remote / Online - Candidates ideally in
Stellenbosch, 7600, South Africa
Listed on 2026-09-21
Stellenbosch, 7600, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-09-21
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
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.
- 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.
- 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., Tensor Flow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, No
SQL). - Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- 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.
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