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The team’s main responsibility is to solve & resolve highly complex technical issues on Oracle Cloud and Exadata On-Prem platforms, spanning across database footprint including Exadata architecture, Real Application Clusters, High Availability, Data Guard, Corruption, Backup and Recovery, RMAN, ZDLRA, Performance, Memory Management, Parallel query, Query tuning, Storage, ASM, GoldenGate, Replication, Security, Networking, Enterprise Manager etc.
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Overseeing the coordination of HEDIS data ingestion activities and driving strategy to optimize HEDIS data ingestion, EHR/HIE interoperability, supplemental data, and record review for the Medicaid line of business.
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The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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Data analytics personnel will be key members of the Fee-for-Service (FFS) Operations team within the School Based Services (SBS) Center of Excellence (COE). Process confidential data and information according to HIPAA, FERPA, and PCG internal policies.
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We are looking for a big data developer who is passionate about working with large scale systems using cutting-edge technologies and tools to help identify and disrupt malicious threats on the Internet.
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The Java Data Engineer will be a part of Verint’s Big Data team responsible for developing batch or event-driven data pipelines in the cloud (AWS) while improving the reliability, security, resilience, and performance of the Big Data pipeline.
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Assist Clinical Scientist, Study Responsible Scientist (SRS), &/or Study Responsible Physician (SRP) in various clinical research assigned Immunology Development clinical trials. Assist with clinical study activities such as study start up, investigator meetings, data review, etc.
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Understanding of industry standard technologies to support Clinical Development needs (e.g., CTMS, SAS, R or Python, Data Warehouses, SharePoint) Prepare, test and implement post production changes as per study needs while ensuring data integrity.
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We are immediately hiring a remote Data Analyst III for our Supply Chain Solutions division. This will push the envelope of what is possible within the big data space; streaming live data into a data lake and experimenting with data in the data sandbox.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Utilize Business Intelligence Platforms such as Qlik and\or MicroStrategy to support data visualization, analytics, and Information Delivery needs. Partner with the internal Business Intelligence teams to design, build, and deploy data assets that house Market Insights Data.
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Design, structure and build a data strategy(ies) in support of complex or semi-complex data challenges that exist across multi-channel marketing programs and Journeys, integrated plans and tactics, tiered performance goals, and spanning multiple ManTech platforms (internal and external.
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Align master data management and data governance standards, processes, and rollout with the Global ERP rollout. This professional will direct the customer and vendor master data management and data governance programs defining standards and processes to serve both short term and long term needs of the business which align with industry best practices.
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Ankura’s Data & Technology Practice includes client services in the areas of Analytics & Data Strategy, eDiscovery & Cyber Security. 10+ years of experience in data platform architecture, data engineering, cloud technologies, master data management and modern data practices.
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As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.
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Title: data scientist Company: Oracle in Carson City, NV
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