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The hospital has achieved numerous quality award distinctions including Patient Safety Excellence Award, Women’s Health Excellence Award and Distinguished Hospital Clinical Excellence Award. Join an award-winning team of dedicated professionals committed to our core values of quality, compassion and community.
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Axle is seeking a Data Scientist - Data Quality to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.
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Determines quality improvement opportunities by collecting and reviewing data. From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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Gain hands on experience in Quality Control processes and implementation including: Day to Day QC activities (Quality gates, measurements, data acquisition) QC Gate setup & dynamic checklist management processes & tools Assist in the design & implementation of data collection plans, including consideration of how the data will be collected, e.g. check sheets, data coding techniques and automated data collection.
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As the coding data quality auditor you are responsible for the coordination of auditing and education in support of achieving organizational strategic initiatives. Performs functions as both coding data quality auditor/educator and is responsible for providing oversight on education and audits of medical records in compliance with federal coding regulation and guidelines.
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Use data science tools to improve data reliability, efficiency, and quality. ERC has an exciting opportunity for a Data Scientist located at the Redstone Arsenal in Huntsville, AL. In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data.
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Role: Data Governance + Data Quality. Nice to have: Develop and define data quality rules, manage their deployment, revision, and maintenance across the data lifecycle.
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Under the direction of the department leadership team, the Healthcare Data Analyst II – Data Quality & Reporting (HDA II – DQ & R) is responsible for leading various data and analysis efforts for the Data Quality & Reporting Department that help drive company key initiatives.
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High quality SQL code to retrieve and analyze data from database tables (primarily Databricks) 1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
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Implement a data quality initiative to ensure quality and accuracy of regulatory reporting data. The successful candidate will be responsible for implementing a data quality initiative to ensure the quality and accuracy of regulatory reporting data.
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Experience retrieving, cleaning, and analyzing large environmental datasets and geospatial data layers, such as land use, hydrography, climate, and water sampling data. This candidate will contribute to surface water quality restoration and protection and ensuring safe drinking water supplies across the nation by planning and overseeing technical support tasks for projects with the U.S. Environmental Protection Agency and other government agencies.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality.
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Work with our engineering teams to validate existing data sources, identify opportunities to improve data quality, and craft requirements for robust new instrumentation as needed. We’re looking to hire a Data Scientist to take the lead on advanced analytics and predictive modeling to serve the needs of our business today and for a broader scale years from now.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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data quality jobs Title: data scientist Company: Citigroup
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