Exploration Systems Specialist

؜ - ؜السعودية ؜ -

تفاصيل الوظيفة

Job Req ID: ‎4040
Description:
Aramco energizes the world economy.
Aramco occupies a unique position in the global energy industry. We are the
world's largest producer of hydrocarbons (oil and gas), with the lowest
upstream carbon intensity of any major producer.
With our significant investment in technology and infrastructure, we strive to
maximize the value of the energy we produce for the world along with a
commitment to enhance Aramco's value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the
world, we combine market discipline with a generations' spanning view of the
future, born of our nine decades experience as responsible stewards of the
Kingdom's vast hydrocarbon resources. This responsibility has driven us to
deliver significant societal and economic benefits to not just the Kingdom,
but also to a vast number of communities, economies, and countries that rely
on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst
the top five global companies by market capitalization.


Overview


Petroleum Engineering Applications Services Department IR4.‎0 teams provide
support and consultations to Upstream Business Line professionals for digital
solutions related to IR4.‎0 technologies. These technologies have gained an
increasing importance over the past few years and have become an essential
factor in many Upstream workflows and business processes. Specifically, by
capitalizing on the vast amount of data available in upstream and utilizing
advanced Artificial Intelligence (AI) and Machine Learning (ML) algorithms,
upstream users will be able to make informed decisions and perform thorough
risk analysis, which will effectively address current and future Upstream
business challenges and needs.


Key Responsibilities


You should be able to perform the following
Work with customers to identify opportunities for leveraging data to drive
upstream business solutions
Analyze data from various data sources to drive optimization and improvement
of upstream business processes
Evaluate the effectiveness and accuracy of new data sources and data gathering
techniques
Develop custom data models and algorithms to apply to data sets
Develop Machine Learning and AI models to optimize customer experiences and
improve upstream business processes
Develop testing frameworks for testing model quality
Coordinate with different functional teams to integrate developed models with
other systems
Develop processes and tools to monitor and analyze model performance


Minimum Requirements


As a successful candidate, you
Have a Bachelor degree in Computer Science, Statistics, Mathematics or related
scientific/engineering field
Have a strong knowledge in statistics, sensitivity analysis and stochastic
modelling.
Have an Experience in performing Exploratory Data Analysis and developing ML
models using:Statistical languages/platforms (e.g. R, SPSS),Programming
languages (e.g. python, Matlab, SQL),
Business Intelligence and Analytics platforms (e.g. Spotfire, tableau etc.)
Have knowledge of a variety of machine learning techniques
(supervised/unsupervised) and libraries (e.g. scikit-learn, KNIME and
TensorFlow)
Working environment
Our high-performing employees are drawn by the challenging and rewarding
professional, technical and industrial opportunities we offer, and are
remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by
investment in capital and technology that is second to none. And because, as a
global energy company, we are faced with addressing some of the world's
biggest technical, logistical and environmental challenges, we invest heavily
in talent development.
We have a proud history of educating and training our workforce over many
decades. Employees at all levels are encouraged to improve their sector-
specific knowledge and competencies through our workforce development programs
- one of the largest in the world.


Country/Region: SA

ملخص الوظيفة

  • المُعلن : aramcoservices
  • تاريخ الإعلان : 17/06/2022
  • نوع العمل : -
  • مستوى الخبرة : -
  • المستوى التعليمي : -
  • الراتب : -
  • الهاتف : -

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