Senior Data Scientist - Signal Processing

• Formalize oil & gas problems into AI problems and develop AI-enabled software products.
• Collaborate with cross-functional teams to design solutions and translate business objectives into actionable analyses.
• Extract, clean, audit, and preprocess data for analysis, ensuring data quality and reliability.
• Develop data-driven algorithms and prototypes for regression, classification, segmentation, anomaly detection, failure prediction, and optimization.
• Evaluate proposed AI solutions with respect to project objectives and contribute to continuous improvement.
• Keep up to date with the latest technology trends and apply state-of-the-art AI techniques to enhance existing solutions.
• Deploy and maintain AI models in production environments and communicate results effectively through oral presentations and written reports.
  

Requirements – Experience:

• Minimum of 4 years of experience in signal processing and time-series analysis with machine learning, deep learning, or other AI technologies.
• Demonstrated experience in developing core AI algorithms for real-world industrial problems.
• Experience implementing robust and scalable industrial AI solutions, preferably in the oil & gas sector.