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    Senior Data Scientist - Amman, الأردن - 99brightminds

    99brightminds
    99brightminds Amman, الأردن

    منذ أسبوع

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    • About the job

      99brightminds is seeking to hire a Senior Data Scientist (Signal Processing) to work onsite with one of our big international clients in Abu Dhabi. Responsibilities
    • Develop next generation AI-enabled software products for oil & gas industry;
    • Formalize Oil & Gas problems into AI problems;
    • Translate business objectives into actionable analyses and insights;
    • Contribute to the solution design, in collaboration with other data scientists, engineers and SMEs;
    • Data preparation: Extract, clean, audit and preprocess data for analysis;
    • Data QC: Analyze quality of data produced and proactively develop solutions to data quality issues;
    • Contribute to the creation of large-scale labeled databases leveraging our annotation team;
    • Develop data-driven algorithms and prototypes for regression, classification, segmentation, anomalydetection, failure prediction and optimization;
    • Evaluate proposed AI solutions with respect to the project objectives;
    • Keep up to date with the latest technology trends;
    • Apply state-of-the-art AI techniques to improve existing solutions;
    • Deploy and maintain AI models in production;
    • Help prepare and visualize interim and final results of analyses;
    • Communicate ideas, plans, and results, effectively via oral presentations and written reports.
    • Requirements – Experience
    • At least 4 years of experience demonstrating depth and breadth in signal processing and time-series analysis with state-of-the-art machine-learning, deep-learning, or other AI technologies;
    • Demonstrated experience in developing core AI algorithms in industry, industrial AI or for real-world AIproblems;
    • Demonstrated relevant experience in implementing robust and scalable industrial AI solutions;
    • Experience in the oil & gas exploration & production company or oil field services company is a plus.
    • Requirements – Key Skills
    • Strong background in applied mathematics, algorithms and coding;
    • Proficient in machine-learning and/or deep-learning;
    • Strong background in AI application to signal-processing problems;
    • Proficient in Python development language, Pytorch deep-learning framework and all popular machine-learning libraries (e.g., Scikit-learn);
    • Theoretical and practical knowledge of popular machine-learning algorithms (PCA, Support Vector Machines, RandomForest, XGBoost, etc.) or deep-learning networks (RNNs, LSTMs, CNNs, shallow networks, GANs, Transformers, etc.);
    • Hands-on with useful development tools (PyCharm, Jupyter, Git, Docker, etc);
    • Ability to build AI models and to find impactful and actionable recommendations based on the model;
    • Excellent communication, verbal and written skills.
    • Ability to manage ambiguity, take initiative, and hit the ground running.
    • Results-driven and proactive personality;
    • Educational Requirements
      • Master's degree or or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field;
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