Data Scientist - Time Series Forecasting at Exxonmobil Business Support Centre Malaysia - Kuala Lumpur

The Data Scientist - Time Series Forecasting is responsible for developing data-driven tools and AI models to optimize chemical and fuel value chains. This role involves collaboration on a global scale, applying advanced statistical techniques and machine learning to solve complex commercial problems.

As a Data Scientist specializing in Time Series Forecasting, you will join the Kuala Lumpur Modeling, Optimization & Data Science team. You will work in a dynamic environment, collaborating with global teams to drive innovation in data science and AI applications.

Key Responsibilities: - Develop and implement time series forecasting models to support business decisions. - Collaborate with cross-functional teams to identify and solve complex commercial problems. - Provide technical leadership in the application of machine learning and statistical analysis. - Optimize supply chain activities through data-driven insights. - Support the AI strategy by developing scalable data-driven tools. - Conduct model assessments and ensure explainability of AI solutions. - Engage in software testing and development practices using Agile methodologies.