Data Scientist

Responsibilities

• Develop, deploy, and act as the single point of contact for data science problems within the Maintenance domain and technology support.
• Develop and evaluate new models using Time-series modeling, NLP, and Computer Vision using Python.
• Support the development and execution of technology area strategies to ensure alignment with business objectives.
• Understand maintenance workflows and develop new model features, testing plans, and enhancement requests.
• Proactively engage with Principal Engineers to implement technology within specific technical disciplines.
• Assist in developing and delivering technical training content.

Requirements

• Master's or 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 experience in developing, applying, and validating data-driven tools to model complex systems.
• In-depth knowledge of statistical analysis (classification, regression, time-series, Bayesian) and machine learning (deep learning, neural networks, ensemble methods).
• Practical experience in the full machine learning lifecycle, from problem formulation to enterprise-scale deployment.
• Proficiency in Python and key libraries including NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
• Experience with Azure Databricks or similar data science frameworks.
• Experience with data visualization tools such as Tableau or Power BI.

Preferred Qualifications

• Experience in supply chain, trading, or commercial activities (pricing, demand forecasting, value chain optimization).
• Prior experience in software development or working within professional software teams.
• Strong understanding of ML Ops practices, code design, and testing.
• Ability to identify and scope data science opportunities based on specific business needs.

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 Upstream, Product Solutions, and Low Carbon Solutions businesses worldwide.