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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.
$65,000 - $87,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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At Houston Methodist, the Sr Sterile Processing Technician position is responsible for maintaining high standards 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 Operating Room (OR) staff to provide timely sterile products, trays and case carts where applicable.
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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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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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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. The role involves developing and implementing image processing pipelines for multiview, multiscale image data.
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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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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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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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This position demands a blend of systems engineering, data integration, and data analytics skills to enhance a company's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs.
$130,000 - $155,000 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience working with Market data vendors such as Platts, Argus, Refinitiv (LSEG), Bloomberg as well as exchanges ICE, CME etc. An excellent opportunity has arisen to join the dynamic global Market Data team of Global Investment Bank in their Houston or Philadelphia office supporting the firm's Commodities - Energy Trading/Investment Markets businesses.
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Job Description: We are seeking an experienced ETL Informatica Developer to design and develop scalable ETL processes and Data Warehouses (EDW) using tools such as Microsoft SQL Server, Oracle, Netezza, and Informatica.
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EnLink Midstream is seeking a seasoned data professional that will be responsible for the design and implementation of data management practices, reusable design patterns, and evolving the data services roadmap in partnership with business stakeholders.
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Databricks Certified Data Engineer Associate. Supports in designing and implementing data extraction, transformation, and loading processes for Maximo data conversion; Identifies relational databases, preferably experience in working with databases commonly used in Maximo, such as IBM DB2, Oracle, Microsoft SQL Server, along with familiarity with Maximo's Integration Framework (MIF) and its capabilities for data integration and conversion.
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