Data Scientist: Timeseries & ML for Energy Solutions

Exxon Mobil; Kuala Lumpur; On-site; MYR 48,000 - 72,000; Full time

Job summary

A leading global energy company in Kuala Lumpur seeks candidates for a data science role within its Maintenance domain. The successful applicant will utilize programming skills to develop and deploy solutions, support technology strategy, and demonstrate expertise in data science. The position is open to fresh graduates and experienced hires. Strong knowledge of programming languages, particularly Python or C++, along with an interest in machine learning and timeseries modeling, is essential. Join a pioneer in energy innovation and contribute to sustainable solutions.

Qualifications

• Degree in engineering, computer science or related disciplines.
• Working knowledge in at least one programming language (Python/C++/others).
• Interest in upskilling in Timeseries modeling/Machine learning/Deep learning.

Responsibilities

• Develop and deploy specific data science solutions in the Maintenance domain.
• Support Principal Engineer in executing technology strategy.
• Demonstrate industry leadership at conferences or via publications.

Skills

Programming languages (Python/C++)

Timeseries modeling

Machine learning

Deep learning

Initiative to learn

Education

Degree in engineering, computer science or related disciplines

Job description

A leading global energy company in Kuala Lumpur seeks candidates for a data science role within its Maintenance domain. The successful applicant will utilize programming skills to develop and deploy solutions, support technology strategy, and demonstrate expertise in data science. The position is open to fresh graduates and experienced hires. Strong knowledge of programming languages, particularly Python or C++, along with an interest in machine learning and timeseries modeling, is essential. Join a pioneer in energy innovation and contribute to sustainable solutions.