Senior Data Scientist - Signal Processing

Job Title: Data Scientist (Signal Processing)Role Overview: As a Data Scientist, you will play a crucial role in developing next-generation AI-enabled software products tailored to the oil and gas sector. Leveraging your expertise in data analysis, machine learning, and deep learning, you will transform business objectives into actionable insights and solutions.Responsibilities: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. Requirements – Key Skills:Strong background in applied mathematics, algorithms, and coding. Proficiency in machine learning and/or deep learning techniques. Expertise in AI application to signal processing problems. Proficiency in Python, Pytorch, and popular machine learning libraries (e.g., Scikit-learn). Theoretical and practical knowledge of popular machine learning algorithms or deep learning networks. Hands-on experience with development tools such as PyCharm, Jupyter, Git, and Docker. Ability to build AI models and derive actionable recommendations from them. Excellent communication skills, both verbal and written. Proactive, results-driven personality with the ability to manage ambiguity and take initiative. Educational Requirements:Master's degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.