Kuala Lumpur, Federal Territory of Kuala Lumpur, MY, 50088
Open 5 months, first seen by us 170 days agoDevelop and evaluate time series forecasting models using Python
Deploy data science solutions and act as single point of contact for specific problems
Work with Principal Engineers to implement technology within their discipline
Develop new model features and testing plans for sustainment requests
Support AI strategy and assist in delivering technical training content
Develop and evaluate new models using Timeseries forecasting techniques using python
Develop, deploy and act as the single point of contact for specific data science problems across multiple domains
Proactively engages with Principal Engineers to deploy (implement) technology within their specific technical discipline
Understand technology sustainment workflow and enhancements requests and develop new model/features and testing plan.
Support development and execution of AI strategy consistent with the overall discipline vision
Experience in developing, applying, and validating data-driven tools to model complex systems.
Prior experience in software development or working in software teams.
Knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment.
Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
Familiarity with software testing and development practices (Agile).
Skills and Qualifications - PhD degree in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 3.5 (out of 4.0). - At least 3 years of experiences of specialization in time series forecasting, in either research with publications, academics or industrial collaboration related to forecasting use cases
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 170 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 170
Up longer than most. Similar jobs usually come down between day 7 and day 57.
Well past ExxonMobil’s usual: its jobs come down by about day 55.
From 10,558 similar postings that came down, and 65 of ExxonMobil’s. Coming down is not always a hire.
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Develop, deploy and act as the single point of contact for specific data science problems across multiple domains, technology support, uptake and value generation. - Develop and evaluate new models using Timeseries forecasting techniques using python and/or integrating 3rd party tools with EM data/platforms - Support development and execution of AI strategy consistent with the overall discipline vision and ensure alignment with business objectives
- Conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI. - Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. - Familiarity with software testing and development practices (Agile).
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.
ExxonMobil in Malaysia
In Malaysia, we host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to ExxonMobil’s Upstream, Product Solutions and Low Carbon Solutions businesses worldwide. In the upstream, we have interests in two Production Sharing Contracts with PETRONAS, while in the Product Solutions business, we supply a portfolio of specialty chemical products to the marketplace.
We are committed to providing benefits that are competitive and support the needs of our employees.
Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
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Equal Opportunity Employer
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will be duly considered for employment.
Voted Top 5 Graduates’ Choice of Employers in Malaysia for Oil and Gas category
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
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Kuala Lumpur, Federal Territory of Kuala Lumpur, MY, 50088
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