Senior Data Scientist | G42 Abu Dhabi

Senior Data Scientist | G42 Abu Dhabi

We see technology as the next frontier of humanity and solve complex challenges across multiple industries with a holistic and far-reaching systemic view.

AIQ is a joint venture company between ADNOC and Group 42, which focuses on developing artificial intelligence technologies in the United Arab Emirates. AIQ develops and commercializes AI products and applications for the oil and gas industry. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel.

Senior Data Scientist | G42 Abu Dhabi | Apply Now

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 AI problems;
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.

Required 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, shallo 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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