Develop algorithms, models and prototype 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 machine learning algorithms and perform advanced statistical analyses of engineering data to obtain insights into trends and opportunities
Develop and maintain appropriate databases
In 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 participate in special projects as assigned
Education and Experience
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics & Statistics, Machine Learning and Artificial Intelligence, or Geosciences required; Master’s degree and/or Ph.D. strongly preferred
Must have at least three (3) years of relevant experience in data science including at least two (2) years in AI or ML
Strong fundamental understanding of various modern machine-learning methods or computational physics/geosciences/chemistry background, along with significant machine learning knowledge is desirable
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
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
Experiences with one or more of the following is highly desirable: familiarity with ML frameworks such as Tensorflow, Keras, Pytorch, MXNet, operationalizing ML models, cloud computing (e.g. Google Cloud, AWS, etc.), GPU computing environment
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
Internal Number: 501651
Aramco Services Company (ASC) is the U.S.-based subsidiary of Saudi Aramco, the state-owned oil company of the Kingdom of Saudi Arabia and a fully integrated, global petroleum and chemicals enterprise. ASC’s geographical area of responsibility extends throughout North America, with operations in the U.S. and Canada, and selected activities in South America.
ASC conducts a wide range of services to help Saudi Aramco facilitate the safe and reliable delivery of energy to customers around the globe. Core services include include managing a network of three U.S. research centers; identifying upstream and downstream technologies, best practices and potential technology partners for Saudi Aramco; working with suppliers and vendors to provide Saudi Aramco with goods and services; providing business management services to Saudi Aramco project teams operating in North America, and conducting quality inspections for materials and equipment procured for Saudi Aramco. The company also recruits professionals for careers in Saudi Arabia; administers training and career development opportunities for Saudi Aramco-sponsored students and employees in North America; and provides information ...technology and financial services to Saudi Aramco and its affiliates. Additionally, ASC provides benefits administration to expatriate retirees worldwide; publishes company-sponsored magazines; and manages Saudi Aramco exhibits at energy-industry trade shows.
Established in 1950 in New York City, the company moved to Houston in 1974, joining other industry leaders to further strengthen the city's unique position as the energy capital of the world. In addition to its Houston headquarters, ASC maintains offices in Washington, D.C., and New York, as well as research facilities in Houston, Detroit and Boston.