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Remote Oil & Gas Data Scientist

Remote / Online - Candidates ideally in
Bloemfontein, 9300, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, Data Engineering
Job Description & How to Apply Below
About the Role

Our client, a global leader in the Oil & Gas industry, is revolutionizing its operations through advanced data analytics and is seeking a highly skilled Data Scientist to join their fully remote team. This position is designed for an individual passionate about leveraging Big Data to drive insights and efficiencies across exploration, production, and refining processes. You will be instrumental in developing and implementing data-driven solutions, building predictive models, and extracting actionable intelligence from vast datasets.

The ideal candidate possesses strong programming skills, expertise in machine learning techniques, and a deep understanding of the Oil & Gas value chain. This is a remote-first opportunity, offering the flexibility to work from anywhere, with a focus on collaboration and innovation. We are committed to digital transformation and seek a motivated Data Scientist who can help shape the future of our operations from Bloemfontein, Free State
, or any other suitable location. Your work will be crucial in optimizing performance, reducing costs, and identifying new opportunities.

Key Responsibilities
  • Develop, test, and deploy machine learning models to address complex Oil & Gas challenges (e.g., predictive maintenance, reservoir performance forecasting, operational efficiency).
  • Clean, transform, and analyze large, complex datasets from various sources within the energy sector.
  • Design and implement data mining algorithms and statistical analyses to uncover trends and patterns.
  • Collaborate closely with domain experts (geoscientists, engineers) to understand business needs and translate them into data science solutions.
  • Build dashboards and visualizations to communicate findings and insights to technical and non-technical stakeholders.
  • Contribute to the development of data infrastructure and pipelines.
  • Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
  • Document methodologies, code, and results thoroughly.
  • Ensure data privacy and security protocols are strictly followed.
Requirements
  • A Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 6 years of professional experience as a Data Scientist, with a significant focus on applying ML/AI in the Oil & Gas industry.
  • Proficiency in programming languages such as Python or R, and libraries like scikit-learn, Tensor Flow, PyTorch.
  • Experience with SQL and No

    SQL databases, and data warehousing concepts.
  • Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
  • Familiarity with Big Data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Outstanding communication and presentation skills for effective remote collaboration.
  • Self-motivated and able to thrive in a fully remote, autonomous work environment.
  • Must be based within South Africa, with a flexible work location, though originally associated with Bloemfontein, Free State
    .
Benefits
  • This position offers a highly competitive salary, performance-based bonuses, and a comprehensive benefits package including excellent medical aid and retirement fund contributions.
  • The key benefit is the fully remote nature of the role, providing unparalleled flexibility and work-life integration.
  • Our client invests heavily in employee development, offering access to advanced training, conferences, and cutting-edge technologies.
  • This is an excellent opportunity to drive innovation in the Oil & Gas sector from a remote setting, contributing significantly to the company's data strategy.
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