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Data Scientist - Time Series Forecasting

Kuala Lumpur, MY💼 Full-time🗓 2026-07-17 → 2026-09-25

Core

Develop and deploy time series forecasting models and data-driven tools to support ExxonMobil's Product Solutions business, supply chain, and commercial activities.

Role type

Senior IC data scientist (time series forecasting)

Builds

Production ML models for demand forecasting, pricing, and value chain optimization

Domain

Energy & Chemicals (Upstream, Product Solutions, Low Carbon Solutions)

Deliverable

production ML models

Required skills

Time series forecasting, statistical analysis, machine learning, Python, deep learning, neural networks, explainable AI, model validation

Preferred skills

Supply chain/trading experience, software development experience

Technologies

Python, NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch

Responsibilities

Develop and evaluate new models using time series forecasting techniques; integrate 3rd party tools with EM data/platforms; act as single point of contact for data science problems; support AI strategy alignment; develop technical training content

Seniority

Senior, hands-on IC

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