Job Description

BASIC FUNCTION

Develop advanced algorithms, models, prototype and deployment solutions to address challenging scientific and engineering problems for exploration and production (E&P) applications.  Serve as a bridge between machine learning (ML), data science and subject matter applications.

DUTIES & RESPONSIBILITIES

• Develop advanced machine learning algorithms and perform statistical analyses of engineering data to obtain insights into trends and opportunities; develop and maintain appropriate databases
• Close collaboration with research and business partners in the US and in the Kingdom of Saudi Arabia, offer mathematical, computational and statistical models from the collected data to automate, augment, improve or speed up human decisions
• Research and deliver proof of concepts solutions, responding to clear and specific business needs
• Serve as a bridge between machine learning/data science and subject matter applications
• Bridge the gap between prototype development and scalable production applications when needed
• Develop proper unit test frameworks for artificial intelligence (AI) and ML and provides high level documentation
• Communicate appropriate algorithm research and prototype development best practices back to the machine learning group, to improve learning and future capabilities
• Publish and present work in journals and at conferences; develop and maintain statistical reports and visual presentations for management
• Perform other duties and participates in special projects as assigned

EDUCATION AND EXPERIENCE

• Bachelor's degree in Computer Science, Electrical and Computer Engineering, Applied Mathematics & Statistics with Machine Learning and Artificial Intelligence; Master’s degree and/or Ph.D. strongly preferred
• Strong fundamental understanding of various modern machine-learning methods, or computational physics/geosciences/petroleumengineering/chemistry background, along with significant machine learning knowledge is desirable
• Ability to:
  • compile, correlate, and compute results from large data sets
  • develop machine learning algorithms and perform advanced statistical analyses
  • effectively collaborate with research and business partners across disciplines and cultures
  • demonstrate technical writing skills and develop logical and clearly defined reports and presentations
  • make oral/graphic presentations to collaboration partners
  • show a history of active participation in technical society activities preferred
• Proficient with business software applications
• Typically, approximately seven (7) years of relevant experience in data science or equivalent areas including at least five (3) years in AI or ML
• Experience in a few of the following areas: deep neural networks, reinforcement learning, Markov Random Fields, Bayesian networks, semi-supervised learning, computer vision, image processing, signal processing, distributed computing, and/or numerical optimization
• Substantial programming experience is expected, preferably in Python; experience with one or more of the following is highly desirable:  HPC/Parallelization, operationalizing ML models, cloud computing (e.g. Google Cloud, AWS, etc.), GPU computing environment, familiarity with ML frameworks such as Tensorflow, Keras, Pytorch, MXNet, etc.
• Experience with big-data technologies such as Hadoop/Spark is a plus
• Experience in oil and gas application is a plus
• Must be able to comprehend and communicate accurately, clearly and concisely in English

NO THIRD PARTY CANDIDATES ACCEPTED

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