Minimum Requirements :
As a successful candidate, you should hold a bachelor's degree Computer science BS degree with a master / specialization in artificial intelligence, data science or data analytics.
MSc or PhD is desirable.
You must have a minimum of 10 years of intensive experience in the area of data management. Technical publications are valued but in-depth practical experience is paramount.
You must have a minimum of 5 years of experience in the field of data science, advanced data analytics or artificial intelligence domains.
Mastery of machine learning algorithms, which include : Deep Learning algorithms (Feed forward neural networks, convolutional neural networks, recursive neural networks), classification algorithms (Random forest, C45, SVM, Bayesian, KNN), clustering algorithms (K-means, hierarchical, DBSCAN), reinforcement Learning and recommendation systems.
You should have the ability to work effectively in multi-disciplinary teams and to communicate ideas clearly with specialists in petroleum engineering data management, reservoir characterization and geologic modeling, petro-physical evaluation, core analysis, reservoir management, and production engineering.
You should have proficiency in SQL to access, communicate and work with data.
You should have good knowledge in data visualization to translate results into figure and graphs