Senior Data Scientist

As a Senior Data Scientist at the company, you will engage in innovative data-driven projects focusing on the oil and gas industry. Your core responsibilities will include:

• Ready to apply for roles like this?

  Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.

  Unlock employer & apply directly

  Experimentation and Prototype Development: Design and assess data-driven algorithms using advanced AI techniques for various tasks such as regression, classification, and segmentation. Prototype and evaluate LLM-based systems and multimodal models for document understanding, knowledge extraction, and workflow automation.

• End-to-End Implementation: Manage the implementation of AI models, overseeing all stages from data preparation and cleaning to model deployment and maintenance in production settings.

• Integration of Pipelines: Collaborate with teams to integrate AI-enabled software products, contributing to solution design tailored for the oil and gas sector.

• Monitoring Model Performance: Regularly evaluate and monitor AI solutions to ensure alignment with project objectives while addressing any data quality issues and striving for continuous improvement.

Qualifications and Requirements:

• Experience:

  • A minimum of 4 years in Computer Vision projects, demonstrating a breadth of expertise in classification, detection, and segmentation.
  • Proven experience with cutting-edge machine learning and deep learning technologies.
  • Hands-on experience in building and deploying end-to-end ML pipelines in an industrial context.
  • Experience with LLM applications (e.g., GPT, Llama) and autonomous reasoning frameworks is advantageous.
  • Familiarity with Geoscience applications within the oil and gas sector is a plus.

• Key Skills:

  • Strong foundation in applied mathematics and statistics.
  • Proficiency in machine learning and deep learning techniques.
  • Advanced Python programming skills and familiarity with development tools such as PyCharm, Jupyter, Git, and Docker.
  • Comprehensive knowledge of open-source tools (OpenCV) and deep learning frameworks (PyTorch, TensorFlow).
  • Proficiency in LLM frameworks and related tooling (LangChain, Hugging Face).
  • Excellent communication skills to convey technical concepts effectively.

• Educational Background:

  • Master’s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or a related AI field.

If you are a motivated data scientist eager to work in a cutting-edge environment, we encourage you to apply for this exciting opportunity.