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As part of the Data Analytics team, the Lead 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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Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365. AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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The US Natural Gas Pipeline Projects Engineering team has a career opportunity available for an experienced Instrumentation and Electrical Engineer. Reporting to the Manager, this position is responsible for providing electrical engineering analysis and support to the US Natural Gas Pipeline sustainability and natural gas growth projects, and their stakeholders.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and data scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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6+ years' experience managing and delivering complex and technical projects, preferably in the data science space 2+ years' experience crafting the strategic direction of technical programs within domain specific industries Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc.
$151,800 - $253,000 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Requirements: BSc, MSc or PhD in Geophysics, Geoscience, Physics, Maths, Electrical Engineering with a Physics background, or equivalent. Oil/gas industry experience – with working knowledge of seismic or digital signal processing.
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Data Architect with ETRM (Energy, Trading and Risk Management) Role – Data Architect with ETRM skills. · Conduct Database activities such as database creation, management, testing, programming on database, data engineering, reverse data engineering, reporting, analytics, data migration etc based on project requirement.
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Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems.
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We are currently seeking an experienced Machine Learning Engineer to join our client's Big Data and Advanced Analytics department. Work directly with business domain experts and Data Scientists to understand business objectives and develop high-quality, scalable, machine learning systems.
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The Renewable Natural Gas Trader / Origination Manager is responsible for developing new business and growth opportunities for RNG supply and demand. As a part of our continued expansion, Targray requires the services of a Renewable Natural Gas Trader / Origination Manager in Houston, Texas.
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Strong PC skills with proficiency in word processing, spreadsheet and database software and the ability to optimize the use of technology and systems to communicate, manage budget and to streamline processes and increase efficiency.
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Execution of engineering software (ARIES, PHDWin) to analyze data and prepare forecasts. The engineering position supports the process by performing analysis and risk assessment of client engineering data.
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Extensive experience with AutoCAD drafting, data processing, and reviewing final surveying deliverables. This role involves indoor work, data processing, and close collaboration with survey teams.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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