Data Scientist - Time Series Forecasting at ExxonMobil - Kuala Lumpur
Role Summary
This role involves leveraging advanced data science techniques to solve complex commercial problems and provide actionable insights within ExxonMobil's Product Solutions Business.
Job Description
Join ExxonMobil's rapidly expanding Modeling, Optimization & Data Science team in Kuala Lumpur, where you will collaborate globally to provide deep technical insights and support to our Product Solutions Business. As a key member, you will utilize machine learning, time series analysis, and statistical techniques to develop data-driven tools and models that address commercial challenges and enhance business insights.
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Job Requirements
PhD in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 3.5
At least 3 years of experience specializing in time series forecasting
Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch)
Strong knowledge of statistical analysis and machine learning techniques
Excellent problem-solving skills and attention to detail
Strong communication and interpersonal skills
Data Scientist - Time Series Forecasting - Frequently Asked Questions
What is the salary for a Data Scientist - Time Series Forecasting at ExxonMobil in Kuala Lumpur?
ExxonMobil has not disclosed the salary for this role.
Where is this Data Scientist - Time Series Forecasting job located?
This Data Scientist - Time Series Forecasting position is based in Kuala Lumpur, Malaysia. This role is fully on-site.
What qualifications do I need for this Data Scientist - Time Series Forecasting role?
ExxonMobil is looking for PhD in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 3.5; At least 3 years of experience specializing in time series forecasting; Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch).
How do I apply for this Data Scientist - Time Series Forecasting job at ExxonMobil?
Apply directly on SuperJobs — create a free profile, upload your CV once and submit. There is no agency fee and no charge to applicants. Applications close 2026-11-07.
Quick Info
Company
ExxonMobil
Location
Kuala Lumpur
Salary
Undisclosed
Skills Required
7 skills
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Data Scientist - Time Series Forecasting Salary at ExxonMobil
ExxonMobil has not disclosed the salary for this role.
How to Apply for This Data Scientist - Time Series Forecasting Role
- Click Apply Now and sign in, or create a free SuperJobs profile. It takes about two minutes and there is no agency fee.
- Upload your CV once and answer any screening questions ExxonMobil asks. Your profile is reused for every application after this one.
- Submit, then track the application and any employer replies from your dashboard. Applications close 2026-11-07, so apply early.
Application Tips
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- Tailor your application to match the role requirements
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- Submit your application as soon as possible to increase your chances
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