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Prior experience applying data science techniques to oil and gas drilling data. 5+ years' applying data science techniques to oil and gas automation projects. Provide guidance on algorithm design, research, deployment, and general operations to the data science team as a whole.
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Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of the new initiative in Therapeutics Data Science and part of our ambitious Institute for Data Science in Oncology at MD Anderson.
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Digital technologies may include, and not limited to, Artificial Intelligence/Machine Learning/Data Science, Robotics, AutoBots, IoT, Big Data, Blockchain, Augmented Reality/Virtual Reality, Social Media/Collaboration, and Mobility.
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Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. 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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Bachelor's Degree in Geology, Hydrogeology, Soil Science, Environmental Science or closely related discipline. Provide guidance with data collection efforts for extracting, identifying, and compiling environmental data from soil sampling, soil gas sampling, groundwater sampling, stormwater sampling, boring logs, and other matrices for projects, investigations, and surveys.
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Education: A higher education degree (MSc or PhD level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent. Statistical Background: Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data.
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Preferred: Master's or PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Applies a variety of methods based on standards and metrics to review and improve data acquisition and data management processes such as statistical analysis, machine learning, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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The Staff Geotechnical Engineer is responsible in being a part of a group of engineers and or data scientists and provide engineering/geo-science advice in multiple specialized technical disciplines and develop solutions with the team by putting acquired Geo-data into context.
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As a member of our Low Carbon Solutions Data Science & Analytics team, you will work on problems in emerging technologies such as carbon capture and storage, hydrogen, sustainable lithium extraction, or advanced biofuels.
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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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Master's Degree MA/MS degree in Healthcare, Engineering, Mathematics, Statistics, Epidemiology, Business, Data Science, Computer Science, or related field. The Senior Health Care Data Scientist is a subject matter expert who applies data science and their knowledge of health care data to develop solutions that improve health care.
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Two three-semester credit hour (or equivalent) in college-level analytical chemistry (Analytical Chemistry, Chemical Informatics, Instrumental Analysis, Mass Spectrometry, Quantitative Analysis, Separation Science, Spectroscopic Analysis, or similarly named course) or interpretive science (Biochemistry, Drug Metabolism, Forensic Toxicology, Medicinal Chemistry, Pharmacology, Physiology, or Toxicology or similarly named course.
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Commodity Analytics helps commodity producers, processors, buyers, and traders across agriculture/softs, metals, energy, and consumer sectors improve commodity price risk capabilities with cutting-edge data science.
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data science jobs Title: science director Company: Indeed in Houston, TX
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