Senior Data Scientist

WORKSITE : 1430 Enclave Pkwy, Houston, TX 77077 Be responsible for guiding the successful delivery of analytic solutions to internal customers. Design and execute research and tackle open-ended data problems related to AI, ML, predictive modeling, data mining, and research on large-scale, complex data sets using statistical, machine learning, graph modeling, text mining, and other modern techniques. Collaborate with various teams and provide periodic updates through presentations and prototype demonstrations. The role involves working on multiple projects simultaneously and formulating key business requirements. Help to develop, analyze, draw conclusions, and present results to business users. Research and assess next-generation technologies for data-driven solutions in digital production. Generate innovative ideas, establish new research directions, and shape and execute technical projects. Develop data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization. Work with business and engineering teams to implement robust and scalable industrial software solutions. Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility. Communicate ideas, plans, and results effectively through oral and written reports. Participate in technical forums, events, and conferences. Apply experience in digital production, machine vision, and Generative AI using large language models (LLMs). Work with technology platforms such as Dataiku, Google Cloud Platform (GCP), and Microsoft Azure. MINIMUM EDUCATION : Master's degree in Computer Science or related disciplines (e.g., Mathematics, Applied Science, Engineering) with demonstrated research capability. MINIMUM EXPERIENCE : 3 years of experience as Data Scientist in data analytics, machine learning, data visualization, cloud platform technologies, digital production, machine vision, Generative AI using large language models (LLMs), technology platforms such as Dataiku, Google Cloud Platform (GCP), Microsoft Azure, and oil and gas domain knowledge. -