Predictive Analytic and Data Science Engineer, Chemicals Business

Job Summary:

Deliver Digital Asset Performance Management (APM) solutions to internal and external customers to improve overall asset performance including EH&S and reliability by applying digital knowledge (e.g. Data Science, Machine learning, data visualization, and RPA) to enhance reliability methodology

Responsibilities:

• Study and develop new reliability technology/tools by applying a broad set of analytical, and statistical tools, and machine learning/artificial intelligence techniques (own or collaborative).
• Develop asset reliability strategy via collaboration with domain experts from operations, maintenance, and engineering to define problems, collect data, develop hypotheses, extract critical information, and validate the findings using an experimental and iterative approach
• Lead the development of AI and predictive analytic solutions focusing on process optimization and improvement, defining the strategic vision, objectives, and roadmap for implementation.
• Integrate data from various sources, including loT sensors, SCADA systems, and enterprise databases, to populate and update models in real time.
• Explore the opportunity to apply data analytics and leverage digital technology to enhance Asset Reliability, Performance, and Optimization.

Qualifications:

• Bachelor&aposs or Master Degree in Computer Engineering, Computer Science, Information & Technology, Data Science, Statistics, or any related field
• Knowledge of Data & Statistics
• Good business & people analytical skills
• Excellent skills in written and verbal communication
• Enjoy working in an agile and collaborative environment
• Able to work in Rayong province