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As part of the Data Engineering team, the Lead Python Web Developer will work closely with Business domain experts and Data Engineeers to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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BSc or MSC in Maths, Computer Science, Data Science or Statistics. Our client is widely regarded as pioneering in the Data Science / AI space. - Learning the domain of 'Energy' use data to create commercial opportunities.
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Strong understanding of automation technologies, such as robotic process automation (RPA), artificial intelligence (AI), digital factory and machine learning (ML). Master's / Doctorate degree in Engineering, Computer Science, or a related field.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s). This center will focus on LSC-CyFair's Visual Communication and Information Technology workforce training programs with certificates and degrees in areas such as Cisco and Microsoft Networking, Cyber Security, Computer Forensics, Graphic and Web Design, and 3D animation.
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You will leverage existing data-collection tools to analyze performance, deliver artificial lift plans, implement root cause failure analysis, and beat performance targets. Ensure compliance with the BPX Wells Policy and internal engineering best practices regarding well performance, well decline and artificial lift life cycle management.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies.
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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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A minimum of 10 years' experience in business intelligence, data analytics, or a related field, with a strong portfolio demonstrating proficiency in BI tools such as Tableau, Power BI, or similar platforms.
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You will develop key technologies in the Electro-Optics/Infra-Red (EO/IR) domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions.
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A Postdoctoral Researcher position is available in the Department of Materials Science & NanoEngineering at Rice University, with a focus on optical spectroscopic characterization of semiconductor quantum materials for solid-state qubit applications.
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Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data sciences. Directly align data science campaigns with strategic corporate objectives encompassing the digital transformation of innovative ideas into real-world solutions.
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Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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About Us: CompQsoft Inc. Established in 1997, headquarters in Houston, TX and office in Leesburg, VA. CompQsoft offers a range of comprehensive Cyber Security, Infrastructure, Cloud solutions, ERP implementation, Business Intelligence, Application development, Ecommerce applications and Management consulting services.
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Leverage Business Intelligence (BI), Business Requirement Document, Azure Databricks, and Data Pipelines skills in data-related projects. Familiarity with Business Intelligence (BI) tools for data visualization and reporting.
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data science applied mathematics artificial intelligence jobs Title: engineer Company: Boeing Company in Houston, TX
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