Data Scientist: Time Series & AI for Energy

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

Job summary

ExxonMobil Malaysia invites applications for a data science role based in Kuala Lumpur. You will join the MODS team, providing deep technical insights to Product Solutions, Upstream and Low Carbon Solutions on a global scale.

Responsibilities include developing, evaluating and deploying models with Python, NLP, timeseries, and computer vision, while aligning with business objectives and delivering technical training content.

Qualifications

• Master’s or PhD in Data Science, CS, Applied Math, Engineering or related field with GPA 3.5+.
• At least 3 years experience building data-driven tools and models.
• Deep knowledge of statistics, ML methods and model validation.

Responsibilities

• Develop, deploy and own data science solutions within Maintenance domain.
• Create models using timeseries, NLP, computer vision; integrate tools with EM data.
• Support engineers in strategy and deliver technical training content.
• Collaborate with global teams to align with business objectives.

Skills

Statistical analysis

ML lifecycle

Python programming

Communication

Team collaboration

Education

Master’s or PhD in Data Science/CS/Applied Math

Tools

Python (NumPy, pandas, scikit-learn)

Keras/TensorFlow/PyTorch

Azure Databricks

Tableau/Power BI

Job description

ExxonMobil Malaysia invites applications for a data science role based in Kuala Lumpur. You will join the MODS team, providing deep technical insights to Product Solutions, Upstream and Low Carbon Solutions on a global scale.

Responsibilities include developing, evaluating and deploying models with Python, NLP, timeseries, and computer vision, while aligning with business objectives and delivering technical training content.