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Residing on the Reporting, Analytics, and Business Intelligence Team, the Lead Cogito BI Developer leads and provides technical expertise in the design, development, testing, documentation, maintenance of Epic reporting and analytic solutions including Caboodle/Clarity databases and Healthy Planet, Radar, SlicerDicer, and Reporting Workbench applications.
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Investigator, Financial Intelligence Unit. Anti-Money Laundering Specialist, Financial Crimes Specialist, Certified Fraud Examiner, or related professional certification required. The position of FIU Investigator will be responsible for conducting timely, special and complex investigations related to suspected money laundering, terrorism finance, or other related financial crimes, cultivating analytic trends and typologies unique to payments services and associated with online marketplaces, and drafting suspicious activity reports as appropriate.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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PurposeWe are seeking a learning intelligence analyst to join an Academic Affairs team that is passionate about enhancing the UT Austin student academic experience. Demonstrated experience with Tableau, Microsoft Power BI, or similar applications.
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Tens of thousands of companies in more than 90 countries around the globe have moved their video surveillance to the cloud with Eagle Eye VMS. Customers, including multi-family residences, smart cities, schools, hospitals, hotels, logistics, restaurants, and retail shops trust Eagle Eye for actionable business intelligence and proactive security across multiple locations.
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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Our team is based in both the U.S. across our headquarters and our 32 markets, as well as in Latin America, primarily in Costa Rica. The onshore teams consist of an executive management team, central operations, business intelligence, maintenance and repair staff, turnover superintendents, leasing managers and application processing, collections, contact center management, marketing, legal, and technology squads.
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While we constantly strive to reach new markets and diversify our product portfolio, we are already active across the globe in Asia-Pacific, Latin America, Europe, and North America, working with leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software.
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Key for Business, our patented building access technology, supports Amazon Last Mile in the US.We are actively looking for a passionate Business Intelligence Engineer to join our start-up team to help inform the direction of Key for Business through data, at scale.
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PREFERRED EXPERIENCE: Strong experience in 3D-IC design Strong understanding of EDA tools from Synopsys and Cadence Synopsys 3DIC Compiler experience Strong knowledge of scripting Linux/Unix environment, Python, Perl, and TCL Experienced with Verilog, RTL, and UPF for multi-clock domain and low power designs Familiar in automating workflows in a distributed compute environment.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Human-Centered Data Science (e.g., databases, big data, information retrieval, robotics, artificial intelligence, information visualization) Cultural Heritage Informatics (e.g., archives, digital collections, preservation, digital curation, digital humanities, museum studies, metadata, cultural studies of information technology, history of information, critical data studies.
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The Business Insights Manager will collaborate closely with our CFO and other business leaders and will be a service provider for the entire organization in relation to the business intelligence tools (Omni) and reporting requests.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems.
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intelligence job Company: Visa in Austin, Lahaina, Hawaii
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