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Deploying machine learning algorithms, working with data developers and solution architects to establish the entire project life cycle in an Azure cloud environment. 6 years An equivalent of six or more years of experience applying advanced statistical concepts, machine learning techniques, forecasting and other methods to solve complex problems using structured and unstructured data.
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KARL STORZ is currently seeking a highly motivated Data Analyst to join the Operations team. This opportunity will get you working on large-scale structured, unstructured data sets, and apply various data engineering and modeling techniques on real-world datasets to build and deploy models.
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Experience with Artificial Intelligence/Machine Learning (AI/ML) applications for image processing. Develop image processing algorithms for Electro-Optical/Infrared (EO/IR) or Hyperspectral Imagery (HSI) data.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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Must have knowledge of Data Visualization tools (i.e. Tableau, Microsoft Power BI) The candidate for this position will be responsible for managing the GSC Performance Team, which falls under the umbrella of the GSC Data Analytics organization.
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Demonstrated computer skills in data visualization and reporting tools including Power BI, Tableau, and MS Office Products. Demonstrate learning agility by utilizing internal and external training opportunities to cross-train on analytics tools and database platforms.
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As a Data Center Operations Technician, you will be responsible for various tasks, including inventory and asset management, equipment and cabling installation, network port mapping, connectivity troubleshooting, shipping, and receiving, server patch management support and coordination, and level 1 incident triage support for server OS related issues (Linux and/or Windows.
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Our team specializes in building software applications around data for operations support and performance management including: data standards development, data engineering, data cleaning, extract transform and load (ETL) workflows, custom application programming interface (API) development and integration, data integration, data pipelines, data analytics, and data science.
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Must have proven competence in data mining, analysis, and modeling capabilities, expertise in Excel (including Pivot tables and V-lookups) and strong PowerPoint skills, Power BI, and PDI (or other ERP systems like Oracle, SAP, Peoplesoft, etc.
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Apollo Insurance Solutions Group (“AISG”), part of Apollo Global Management, is searching for an Associate Director, to join the Data Transformation team within the Data Office. Knowledge and experience in data strategy and data transformation programs preferred.
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A cutting-edge AI Series C well-funded startup that is in a rapidly growing phase, looking to IPOis hiring a Principal/Staff level Data Engineer to join their team. 10+ years professional Data Engineering Experience.
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Experience in data sourcing technologies (external APIs, web-scraping, EDI files, etc.) Lead data ingestion (web-scraping, APIs, or any other protocoles) strategy. Experience with streaming platforms (PubSub, Kafka, Kinesis) and near-real-time data pipelines.
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Experience working in collegiate project teams (e.g. Formula SAE, Hybrid Electric Vehicle) and/or professional experience Professional experience with instrumentation and data acquisition (e.g. SPICE, SQL, and/or National Instruments hardware.
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Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
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Description This Business Intelligence Specialist II position provides advanced data and analytical support to UCLA Health System. The incumbent provides data support to data-driven performance improvement projects within UCLA Health system.
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