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A relevant educational degree in one of the following fields: Computer Science, Information Systems, Information Technology, Cyber Security, Statistics, Business Administration, Systems Engineering, Computation Science, Computer Engineering, Electrical Engineering, Data Analytics, Information Technology, Information Security and Assurance, Mathematics, Software Engineering, Systems Engineering, or Telecommunications.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Builds and maintains knowledge outside of typical civil engineering for application on projects, such as computer science, mathematics, and systems engineering. Thorough knowledge of contemporary issues, principles and practices in the civil engineering field, systems engineering, mathematics, and computer science fields.
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Relevant experience must be in one or more of the following (for Entry level) but in two or more for Full Performance, Senior, and Expert levels: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering.
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PhD or Master’s in computer science (or related fields) and 3-5 years of experience in Artificial Intelligence (AI) and Machine Learning (ML), Data Science, Data Engineering, Data Mining, ML Operations (MLOps), and related fields.
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As an integral part of our organization, you'll play a crucial role in the On-Orbit GN&C and Flight Mechanics section in the Engineering Department on the NASA JSC Engineering, Technology and Science II (JETS II) Contract.
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As part of the Data Analytics team, the Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.
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Bachelor’s degree in computer science or related field. This policy affects all employees, residents, fellows, students, contractors, new hires, visiting scholars program participants, adjunct faculty, and volunteers who work, train, or collaborate at the John S. Dunn Behavioral Science Center.
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Bachelor's, Master's degree, or Ph. D. in a relevant field: Engineering, Computer Science, Operations Research, Computational Physics, Applied Mathematics, etc. Provide communications network expertise to support data science and machine learning development.
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Preferred Software Skills: Proficiency with geologic mapping tools (Petra), rate transient analysis (Harmony suite), computer simulation (CMG), well log evaluation (IP), risk assessment (Rose suite), Data visualization (Spotfire, R.
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Perform professional geotechnical engineering work including design for tunneling projects, subsurface investigations, soil foundation engineering, settlement analysis, soil erosion, lateral earth pressures, geological hazards, underground water, slope stability, and operations to determine conformance with applicable rules, standards, construction, or operating permits for commercial, industrial, building, environmental, infrastructure, and transportation projects.
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With some of the greatest talent in Geotechnical Engineering, Construction Materials Testing and Inspection, Code Compliance, Environmental, Occupational Health & Safety, and Building Envelope, we are committed to delivering groundbreaking solutions for our clients.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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computer science data engineering jobs Company: Gxo in Houston, Wailuku, Hawaii
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