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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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Education Preferred: Master'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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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 degree in Animal Science, Food Science or Biological Science from four-year college or university. Demonstrate the ability to define problems, collect data, establish facts, and draw valid conclusions.
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Excellent data entry skills. PharMerica is the long-term care pharmacy services provider of choice for senior living communities, skilled nursing facilities, public health organizations and post-acute care organizations.
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Experience with citations software, for example Endnote, and software for data and image analysis and illustrations is needed. May be asked to interpret complex data sets. The Department of Pathology at Dana-Farber Cancer Institute is seeking an experienced M.D. or Ph. D. scientist with technical expertise in diagnostic assay development and/or research pathology, as well as research administration, scientific writing, and project management.
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Knowledge and experience in MRP and ERP systems: inventory control, materials requirements planning, production scheduling, master data management, demand planning, order fulfillment. The Lubrizol Corporation, a Berkshire Hathaway company, is a specialty chemical company whose science delivers sustainable solutions to advance mobility, improve wellbeing and enhance modern life.
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Minimum Qualifications:•Bachelor of Science in Geology or Petroleum Engineering•Professional Geologist (PG) or Engineering (PE) License. Master of Science in Geology or Petroleum Engineering.
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The analyst will also partner with IT, Data Engineering, Business Intelligence, and Data Science teams to develop data governance policies, standards, and procedures, as well as designing and implementing training on standards and procedures.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Master’s/ PhD degree in urban planning, economics, geography, environmental studies, data science, statistics, or a related field of study. Bachelor's degree in urban planning, transportation, economics, geography, environmental studies, data science, statistics, or a related field of study.
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Prior experience with data acquisition systems (especially National Instruments) and LabVIEW code development. Familiarity with data interface protocols and associated hardware such as Ethernet, RS232, RS422, RS485, I2C, SPI, etc.
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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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Established in 1972 by The University of Texas System Board of Regents, The University of Texas Health Science Center at Houston (UTHealth) is Houston’s Health University and Texas’ resource for health care education, innovation, scientific discovery and excellence in patient care.
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As a Supply Chain Process Analyst, you'll dive deep into the data and processes that drive our supply chain performance. + 2+ years of experience using Power BI for dashboard maintenance and data visualization.
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data science jobs Title: analyst Company: Capco in Houston, Kekaha, Hawaii
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