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ExxonMobil recrute un scientifique des données, Kuala Lumpur, Malaisie

ExxonMobil recrute un scientifique des données, Kuala Lumpur, Malaisie

Publié : 

Categories : Avis de recrutement

Domaines : Informatique - Télécommunication - Electronique

Regions : Malaisie

ExxonMobil recrute un scientifique des données, Kuala Lumpur, Malaisie

 

 

 

ExxonMobil is one of the largest publicly traded international energy company, and an industry leader in the petrochemical business. We operate facilities and market products in most countries and explore for oil and natural gas in virtually every region in the world.

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.

 

Position titleWhat you will be doingWhat you should have
Data Scientist
  • Apply various data science technologies (statistical analysis, machine learning, and pattern recognition and data visualization) along with domain knowledge and subject-specific models to solve scientific, engineering, manufacturing and commercial problems
  • Develop, deploy and sustain applications in the downstream business using advanced quantitative methods
  • Collaborate with multi-disciplinary teams to develop data-driven solutions utilizing the domain knowledge where possible
  • Initiate new impactful data science opportunities from other teams in the business and use data visualization tools to derive insights from data
  • A degree in Data Science or related discipline (Data Science, Statistics, Engineering, Computer Science, Applied Mathematics, Operations Research or other Science disciplines)
  • Preferably 2-3 years of work experience in a data-driven modeling
  • Working knowledge in one or more of the following:
    • Machine learning/statistical learning methodologies such as regression, classification, unsupervised learning, and time series analysis
    • Programming skills in a scripting language like Python, R or MATLAB
    • Clean, transform, merge and engineer data from different sources
    • Design simple user interfaces such as dashboards and communicate analytical findings to senior management and experts from other domains

 

 

 

Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.

We thank you for your interest in ExxonMobil.

Winner of Malaysia’s 100 Leading Graduate Employers Award in the Energy/Oil and Gas/Utilities category.


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