Data Scientist – Time Series Forecasting

ExxonMobil is seeking a Data Scientist – Time Series Forecasting to join their Kuala Lumpur Modeling, Optimization & Data Science team. The successful candidate will collaborate with global teams to develop and apply data-driven tools, models, or software to support business decisions.

Requirements

• PhD degree in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 3.5 (out of 4.0)
• At least 3 years of experiences of specialization in time series forecasting, in either research with publications, academics or industrial collaboration related to forecasting use cases
• Experience in developing, applying, and validating data-driven tools to model complex systems
• Knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods)
• Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch
• Familiarity with software testing and development practices (Agile)

Benefits

• Competitive benefits package
• Support for professional development and growth
• Opportunities for collaboration and global team work

Tagged as: Forecasting