Data Scientist Expert
Job details
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.OverviewWe are seeking a Data Scientist Expert to join our Global Manufacturing Excellence Digital Transformation Team.The Global Manufacturing Excellence Digital Transformation Team is responsible for providing AI-powered solutions to various business functions within the Global Manufacturing admin area. The solutions leverage the latest technological advancements of Artificial Intelligence (AI) and analytics to create business values across the value chain.Your primary role will be to work closely with business functions, stakeholders, and functional teams to give consultations on AI/ML use cases, identify potential value from data, formulate AI and data science ideas, and conceptualize them. This role will play a pivotal role in helping our organization to make data-driven decisions and to solve complex problems.Key ResponsibilitiesAs the successful candidate you will be required to perform the following:Collaborate with cross-functional teams, including engineers and domain experts, to drive data-driven improvements.Gather and preprocess data from various industrial sources, such as sensors, DCS systems, and manufacturing equipment.Analyze data to identify opportunities for process optimization, energy efficiency improvements, and cost reduction.Implement anomaly detection algorithms to identify abnormal patterns in industrial processes and equipment.Develop predictive maintenance models to identify equipment failures and minimize downtime.Bring innovative ideas to apply image, video, and audio analytics to reduce manual efforts like visual inspection/field monitoring of industrial plants.Create informative dashboards to communicate insights to operational teams and management.Deploy machine learning models into production systems for real-time monitoring and decision-making.Maintain documentation for data analysis processes, models, and findings.Ensure that data practices adhere to industry regulations and data privacy standards.Monitor and evaluate model performance and make necessary adjustments to maintain accuracy and reliability.Minimum RequirementsYou must hold a Bachelors/Master's degree in Engineering or Data Science from a premier institute.You must have at least 5 years of experience in building data analytics-based products in an industrial context, preferably in petroleum refineries.You possess the ability to identify business problems that can be addressed through data analysis and develop data-driven solutions (Engineering/Operational problems, computer vision-based products).Exceptional analytical and problem-solving skills, with the ability to derive insights and opportunities from data are required.Understanding of the Oil & gas downstream domain to apply data science effectively is essential.Experience in developing AI/ML-based digital twins of industrial processes/equipment is required.Experience in applying optimization algorithms in line with AI/ML models is preferred.Expertise in Python for data manipulation, analysis, and modeling. Familiarity with popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, etc. is expected.Proficiency in deep learning tools such as Keras, TensorFlow, PyTorch, Caffe, etc. is required.Proficiency in developing, evaluating, and selecting the best ML model based on the problem under consideration with an engineering sense is essential.You must also be able to bring ideas from conceptualization to production.Proficiency in visualization tools and packages; and in communicating data science topics to a non-technical audience is necessary.Basic project management skills to plan, execute, and deliver data science projects on time and within scope are preferred.Working EnvironmentOur 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.
#J-18808-Ljbffr Database, Analytics & BI, Science, Research and Teaching
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