Data Scientist - Time Series Forecasting

Responsibilities

• Develop and evaluate new models using time series forecasting techniques using Python and/or integrating third-party tools.
• Collaborate with global data scientists, analysts, and software developers to deliver data-driven tools for chemical, lubricants, and fuels value chains.
• Act as a single point of contact for specific data science problems across multiple domains to drive technology uptake and value generation.
• Support the discovery, development, and deployment of technologies consistent with the strategic vision and business partner goals.
• Assist in developing technical training content and support the execution of the company's AI strategy.
• Demonstrate industry leadership through publications, patents, or conference presentations.

Requirements

• PhD in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or a related discipline.
• Minimum GPA of 3.5 (out of 4.0).
• At least 3 years of specialized experience in time series forecasting (academic, research, or industrial).
• Proficiency in Python and key libraries including NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
• Strong knowledge of statistical analysis (classification, regression, Bayesian techniques) and machine learning (deep learning, neural networks, ensemble methods).
• Familiarity with Agile software development and testing practices.

Preferred Qualifications

• Experience in supply chain, trading, or commercial activities such as pricing and demand forecasting.
• Prior experience working within professional software development teams.
• Strong communication and interpersonal skills for working in a global, collaborative environment.

About the Company

ExxonMobil is one of the world’s largest publicly traded energy and chemical companies. In Malaysia, we host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to our global business lines, including Upstream, Product Solutions, and Low Carbon Solutions.