Role Summary
Join ExxonMobil's global technology center as a Data Scientist focused on time series forecasting and machine learning. You will develop advanced analytical models to solve complex commercial challenges in the energy and chemical sectors.
Job Description
As a Data Scientist specializing in Time Series Forecasting, you will join the Kuala Lumpur Modeling, Optimization & Data Science team. You will collaborate on a global scale to develop data-driven tools and AI models for chemical and fuel value chains. Your role involves applying machine learning and statistical analysis to solve complex commercial problems, providing technical leadership, and supporting the AI strategy to optimize supply chain activities and business insights.
Job Requirements
PhD in Data Science, Computer Science, Statistics, or Engineering with a minimum 3.5 GPA.
At least 3 years of experience in time series forecasting within research or industry.
Knowledge of statistical techniques including regression, Bayesian, and machine learning methods.
Proficiency in Python and packages such as NumPy, pandas, scikit-learn, and TensorFlow.
Experience with software testing and development practices using Agile methodologies.
Strong mathematical understanding of algorithms, model assessment, and explainable AI.
Ability to work collaboratively in a global environment with strong interpersonal skills.
Quick Info
Company
—
Location
Kuala Lumpur
Salary
Undisclosed
Skills Required
13 skills
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Required Skills
Data Science
Time Series Forecasting
Python
Machine Learning
Statistical Analysis
Tensorflow
Pytorch
Numpy
Pandas
Scikit-Learn
Agile
AI
Deep Learning
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