Data Scientist

Details of the offer

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.
ExxonMobil in MalaysiaExxonMobil is one of the world's largest publicly traded energy providers and chemical manufacturers, developing and applying next-generation technologies to help safely and responsibly meet the world's growing needs for energy and high-quality chemical products.
In Malaysia, we are involved in significant oil and gas production operations and the marketing of chemical products. We also host a global business and technology center in Kuala Lumpur that provides high-level information technology and engineering expertise to ExxonMobil's upstream, downstream and chemical businesses worldwide.
What role you will play in the teamYou will be part of our exciting and rapidly expanding Kuala Lumpur Modeling, Optimization & Data Science (MODS) team working and collaborating on a global scale providing deep technical insights and support to ExxonMobil's Product Solutions business and supply chain/commercial activities.
As a key member of the team and depending on your level of experience, you will be the single point of contact to improve business performances, or actively develop new models for integration to support our business lines in Product Solutions.
Position is based in Kuala Lumpur and not limited to Malaysians only.
What you will doDevelop, deploy and act as the single point of contact for specific data science problems within maintenance domain, technology support, uptake and value generation.
Develop and evaluate new models using Timeseries modeling/NLP/Computer vision using Python and/or integrating 3rd party tools with EM data/platforms.
Support Principal Engineer(s) in development and execution of their technology area strategy consistent with the overall discipline vision and ensures alignment with business objectives.
Assist in developing and delivering technical training content.
Understand maintenance workflow and enhancements requests and develop new model/features and testing plan.
Demonstrate industry leadership at conferences or via publications/patents (where applicable).
Develop a level of expertise in specific technical disciplines to be recognized as a future leading global expert.
Support discovery, development and deployment activities for the focused technology area consistent with the Technology Portfolio strategic vision and business partner goals.
About youSkills and Qualifications
What you should have
Degree in engineering, computer science or related disciplines.
Open to campus and experience hires.
Working knowledge in at least one of the programming languages (Python/C++/others).
Interested in upskilling in Timeseries modeling/Machine learning/Deep learning, learn about cloud technologies.
Completed basic online courses/certification in data science or related subject.
Initiative to learn new things; e.g. learning technology development and delivery.
Nice to have
Understanding of surface engineering concepts.
Understanding of Machine learning or deep learning concepts.
Understanding of supply chain concepts.
We are committed to providing benefits that are competitive and support the needs of our employees.
Application ProcessPlease be informed that only shortlisted candidates will be notified, and you can find out more about our hiring processhere .
For more information about business solicitation and recruiting scams, please clickhere .
We thank you for your interest in ExxonMobil.
Equal Opportunity Employer
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will be duly considered for employment.#J-18808-Ljbffr


Nominal Salary: To be agreed

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