This role required candidate to permanently relocate at Dhahran, Saudi Arabia.
The role would be for Business Sys Analyst I
About the Company
This company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments : Upstream, Downstream, and Corporate. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers. The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, 1933 and is headquartered in Dhahran, Saudi Arabia.
Job Summary
We are seeking an experienced Data Scientist and Artificial Intelligence specialist to join our team. The selected candidate will have the opportunity to work in a rapidly changing environment and play a key role in creating and implementing new technologies and machine learning algorithms. Working closely on data analytics, you will develop innovative solutions and strategies to enhance our T&D products and services.
Key Responsibilities :
This position is for a Business Systems Analyst with expertise as a Data Scientist in the Technology & Learning Solutions Division. The selected candidate will have the opportunity to work in a rapidly changing environment, contributing to the creation and implementation of new technologies and machine learning algorithms. Your focus will be on data analytics to develop innovative solutions and strategies that enhance our T&D products and services.
Responsibilities include analyzing current software and hardware infrastructures for potential optimization, building new data models and decision algorithms using AI techniques, creating predictive models for data-driven insights, researching and developing new AI technologies, utilizing data from various sources to build analytical models, and presenting data in easy-to-understand visual formats.
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