Senior Data Scientist - Signal Processing

Job Responsibilities:

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

Requirements – Experience:

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