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We are looking for a Data Entry Remote to help us with Amazon store sales. This job requires a Data Entry Remote. About the job Data Entry Remote. We are looking for a Data Entry Remote to help us with Amazon store sales.
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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Data Science, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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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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Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.
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This is a remote work from home position perfect for those with any type of work background such as administrative assistant, data entry clerk, typing, customer service representative, drivers etc.
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At Houston Methodist, the Sterile Processing Technician position is responsible for decontamination, assembly, inspecting, wrapping, and sterilization of surgical instruments and medical equipment for Surgical Services and all ancillary departments which includes working in conjunction with the Operation Room (OR) staff to provide timely sterile products, trays, and case carts where applicable.
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To learn more about B. Braun and our safety healthcare products or view a listing of our employment opportunities, please visit us on the internet at www. CAPS is part of the B. Braun Group of Companies in the U.S.
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Workplace Flexibility: Remote - NationwideBy applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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As our Customs Entry Writer, you will be instrumental in the growth and development of the Customs Brokerage business of TQL Global. 2+ years of experience processing customs entries. Review shipment ISF data and submit within the regulatory timeline.
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Write PostgreSQL routines for spatial and tabular data processing. 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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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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Utomate manual data collection and processing tasks to improve efficiency. As part of the Data Engineering team, the Lead Python Data 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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Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing. Hands-on experience building Google Cloud Platform highly scalable data processing pipelines for volatile live data streams.
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Strong background in computer vision, machine learning, data cleaning, data analysis, data processing, or HPC systems. Ph. D. Degree in Computer Science or related field focusing on data analysis, information science, high-performance computing, computer vision, machine learning, or artificial intelligence.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Work within cloud environments like AWS or Azure to leverage services including but not limited to EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing.
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data entry processing internet jobs in Houston, TX
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