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Specialist, Digital Emerging Technologies (Data Scientist / IOT)

ADNOC Group
Abu Dhabi, UAE
Full Time
Senior
3 weeks ago
machine learningdeep learningnatural language processingTensorFlowPyTorchKeras
Free

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JOB PURPOSE

  • Develop and support implementation of strategies & plans for Digital Oilfields activities in line with Company’s objectives and priorities, to enhance oil recovery, achieve operational excellence and promote safer operations.

KEY ACCOUNTABILITIES

  • Develop and maintain ADNOC’s Offshore artificial intelligence strategy for the core business and technical domains related to exploration, development and production.
  • Develop and maintain ADNOC’s offshore artificial intelligence guidelines document.
  • Work closely with discipline engineers and subject matter expertise to produce systems that utilize artificial intelligence.
  • Conduct brain storming sessions and technical workshops to identify opportunities for AI tools.
  • Conduct regular market surveys and be aware of technological advancements related to AI and data science.
  • Develop scalable tools leveraging deep learning models to solve business problems in areas such as voice recognition, natural language processing and time series predictions.
  • Model complex problems while realizing insights and identifying opportunities through algorithms, statistical models, data mining and visualization techniques.
  • Design and launch innovative and complex analytic models and lead the development of big data capabilities.
  • Work with different data types (sensors data, maintenance logs, datasheets, images, etc) to build, validate and maintain predictive models.
  • Provide guidance and mentor developers regarding data analytics.

QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS

  • Bachelor’s Degree in Engineering, Artificial Intelligence, Robotics, Petroleum or equivalent discipline.
  • Understanding of natural language processing (NPL), machine learning (ML) and artificial neural network (ANN).
  • Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit Learn, NumPy, SciPy, Pandas, statsmodels).
  • Knowledge of R, SQL and Python; familiarity with Scala, Java, C or C++, version control and Matlab is an asset.
  • Minimum 10 years of experience in large scale Data Science, Data Analytics and software development within the Oil & Gas industry.
  • Experience using and understanding business intelligence tools (e.g. Spotfire, Tableau).
  • Experience with data mining and visualization tools.
  • Experience with data preparation, model training, application classification, regression.
  • Experience supervised and unsupervised in machine learning algorithms.
  • Experience with Big Data and familiar with frameworks (e.g. Hadoop and Spark).
  • Analytical mind, business insight and have strong math and statistics knowledge.
  • Excellent communication and presentation skills.

Technical Competencies

  • As per ADNOC standard competencies

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