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As an RN Quality Specialist you will participate in the data collection, compliance facilitation, analysis and presentation of quality data. You will be responsible for quality data for cardiology including Cath lab, EP lab and CV surgery.
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Participate in occasionally intensive field deployments, including the potential for boat-based water quality sampling, UAV data collections, and backcountry data collections. Examples of current research areas include invasive species mapping in the Great Lakes region, transportation infrastructure assessment, unstable slope assessment, wetlands mapping, emission impacts from wildfires, improved geotemporal visualization of complex data and patterns, and extending UAV-enabling sensing.
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Expertise in processes / procedures for missing data analysis, data quality, master data management and good preparation practices for modeling. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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SKILLS: Senior Data Quality Assurance Engineer, Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop, Data Quality Testing, ETL Testing, ETL tools, Oracle, SQL Server, SOAP UI, Jenkins, AntHill Pro, Bamboo, Quality Center, Agile Central (Rally), Scoop, Hive, Pig, NoSQL.
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Ensure data quality, metadata management, compliance, and consistency of master data across business systems (PLM, SAP, MES, and other systems) to achieve a scalable digital ecosystem.
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As part of EDM, our Divisional Data Officer team is responsible for design, delivery and adoption of many of the enterprise Data Governance processes including Data Quality Management, Issue Management and Remediation, Data Lineage Management, Data Catalog Management, Business Glossary Management, etc.
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Extensive knowledge and ability to contribute in the areas of professional quality standards, data privacy, data integrity and data governance. Critical Skills Proven quality, compliance, and audit experience Curious about existing processes and confident enough to implement improvements Advanced computer skills in MS Office, accounting software and databases Ability to manipulate large amounts of data and to compile detailed reports Proven knowledge of auditing standards and procedures, laws, rules, and regulations High attention to detail and excellent analytical skills Sound independent judgement.
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We are looking for an experienced, commercially-savvy data scientist/computational engineer to build models that aid our goal of decarbonizing heavy industry. #Senior #Computational #Engineer #Data #Scientist.
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We are seeking a highly motivated and talented Senior Data Scientist to join our team of experts in developing and maintaining recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps.
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Research Associate Data Scientist - Slomka Lab - Innovation in Imaging / Department of Medicine / Di
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The Research Associate Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine -learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Job Description The MassHealth Systems Teams unit seeks a highly motivated individual as a Quality Assurance Tester to join its Data Warehouse Systems Quality Assurance (SQA) team.
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Build pipelines for quality control, processing and analysis of DIA and DDA data, including TMT and label-free quantification strategies. In this role, you will lead the development and application of computational methods for analysis of raw and processed mass spectrometry based proteomics data.
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Collaborate with data engineering team on best practices, infrastructure optimization, performance and cost optimization, pipeline monitoring, tool and library evaluation, quality assurance, and documentation.
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You will contribute to all data management aspects, including data governance, data quality management, master data management, enterprise data integration by analyzing raw data, writing data pipelines in Azure Data Factory, SQL, Python, and Spark, and solving data issues as they arise during development and after deployment.
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data quality jobs Title: data scientist Company: Cybercoders
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