Senior Data Scientist
Posted on :
14-10-2024
Employer Active
1 Vacancy
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Job Description
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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.
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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.
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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;
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Educational Requirements
• Master’s degree or or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field;
Employment Type
Full Time
Department / Functional Area
Key Skills
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