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The Sr. Back Office Analyst will be responsible for a variety of activities related to physical and financial natural gas trading, including settlement of natural gas commodity invoices, natural gas pipeline and exchange statements, payment processing, reconciliations, trade confirmations, and reconciliation of data to ETRM system.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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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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Employment Status: Full-Time. Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
$128,000Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Operating data · Operations daily reports and logs · Findings and alerts from real-time advanced asset monitoring systems Cross-Organization Improvements · Identify improvement areas and champion recommendations.
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Expert in one or more of the following: machine learning, generative AI, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps. As a Data Scientist Director in the ISDA team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions.
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5-10 years meat and/or seafood industry (as appropriate) FSQA Management experience at a federal CFIA/FDA meat and/or seafood processing plant (as appropriate) acceptable instead of a degree. A minimum of three to five years FSQA management with additional R&D(research and development) or production-operations in a meat and/or seafood processing environment being ideal (combined experience preferred.
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Bachelor’s, Master’s degree or PhD with good academic record within business, industrial economics, economics, finance, political science, law, shipping, logistics, innovation, chemistry, engineering, technical and process safety, naval architecture, marine technology, offshore technology, maritime law, energy management, data science and data management.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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You must have hands-on experience developing large-scale distributed, fault tolerant and scalable data processing systems capable of processing terabytes of structured and unstructured data via batch with Spark, or streaming with Flink or Kafka Streams.
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Understanding of modern processing and discovery principles (e.g., casting, additive manufacturing, coating, evaporation, plasma and radiation processing, artificial intelligence, computer simulations.
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Versed in TensorFlow, PyTorch, scikit-learn, and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). 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.
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Associate's or Bachelor's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems, instructional technology, or business/computer related field (e.g., computer management, decision engineering, data processing.
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Exposure to different licensor technologies for gas processing and NGL fractionation is a plus, and familiarity with Honeywell UOP and Shell licensed units is preferred. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production.
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big data science full time natural processing jobs in Houston, TX
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