Senior Data Scientist — Time Series Forecasting

ExxonMobil Malaysia; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

Exxon Mobil Corporation in Malaysia seeks a Data Scientist specializing in time series forecasting. A PhD with GPA 3.5+ and at least 3 years of forecasting experience in research or industry is required.

Proficiency in Python (NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch) and strong knowledge of statistical and ML methods are essential. You will develop, apply and validate data-driven models for complex systems, work in an Agile environment, and collaborate with a global team.

Qualifications

• PhD GPA 3.5+ required; minimum 3 years in time series forecasting in research or industry.
• Experience building, applying and validating data-driven models for complex systems.
• Knowledge of statistical methods (classification, regression, time-series, Bayesian) and ML techniques; explainability focus.
• Proficiency in Python with NumPy/pandas/scikit-learn and deep learning libraries; familiarity with Agile practices.

Skills

Time series forecasting

Python

Statistical analysis

Machine learning

Explainable AI

Agile

Education

PhD in data science / related field

Tools

NumPy

pandas

scikit-learn

Keras

TensorFlow

PyTorch

Job description

Exxon Mobil Corporation in Malaysia seeks a Data Scientist specializing in time series forecasting. A PhD with GPA 3.5+ and at least 3 years of forecasting experience in research or industry is required.

Proficiency in Python (NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch) and strong knowledge of statistical and ML methods are essential. You will develop, apply and validate data-driven models for complex systems, work in an Agile environment, and collaborate with a global team.