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The COPS Data Quality Analyst in the Research, Analysis, Planning, and Innovation Division (RAPID) will collect, analyze, and interpret data to support research initiatives, most notably the De-escalation Tracking Project.
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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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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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Meta is seeking a BMS Quality Manager to join our North American Data Center Design, Engineering & Construction team. Work with project level Construction Managers, QA/QC Site leads and General Contractor's to ensure creation, accuracy and maintenance of logic driven schedule for construction, commissioning, and packaged equipment BMS activities while leveraging this data to identify early finish dates for detailed design document delivery.
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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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Gain hands on experience in Quality Assurances processes including: root cause analysis using typical Lean Six Sigma methodology PFMEA/DFMEA/Control Plan review with suppliers SPC, CAPA. Education: Pursuing or recent graduate with a bachelor’s degree in related discipline (e.g., engineering, quality, management, or business.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Data Quality and Cleansing - Establish and enforce data quality standards and implement processes for data cleansing and validation. Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage.
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Boart Longyear is seeking a detail-oriented and quality-focused HR Data Analyst who has in depth knowledge of data analysis and reporting. The HR Data Analyst will comply with quality assurance practices to ensure that delivered dashboards, reports and analysis are complete, correct, accurate, and defensible every time.
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The Data Quality Analyst employs exceptional communication skills and proficiency in data analysis and visualization tools to distill intricate data findings into actionable insights, actively contributing to the success of initiatives directed by the Lead Quality Manager.
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As a Data Scientist within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes.
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Solid understanding of data engineering concepts and techniques, such as data modeling, data warehousing, data integration, data pipeline, data lake, data quality, and data security.
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The Clinical Research Quality & Regulatory Specialist plays an integral role in the data integrity and regulatory compliance of pharmacy services related clinical research. Works closely with the Senior Research Training and Compliance Coordinator-Pharmacy to analyze internal audits, refines processes to ensure the quality of data integrity, and maintains regulatory compliance.
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The Additive Manufacturing Quality Engineer will act as the command center for all data and trends related to 3D printing development and production performance. Minimum 3 years of direct experience in quality engineering within the additive manufacturing or 3D printing sector.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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data quality jobs Title: data Company: National Security Agency
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