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They also work with the DCAS Data Research, Analytics, and Management team to establish procedures for detection and correction of data-quality issues and collaborate to establish policies, procedures, and internal controls affecting the quality of data.
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Monitor data quality, analytics and metrics results. Document the characteristics of the data, such as size, cardinality, completeness, and quality to ensure that product delivery meets requirements.
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Translate business logic into actionable artifacts like source to target mapping, data integration patterns, etc. As a Senior Data Engineer, you will join a high-performing team of data engineers responsible for building foundational datasets and pipelines, as well as the infrastructure that supports them, across all Appian business functions including sales, finance, marketing, people and product.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Demonstrated experience in leading data migration projects, implementing data governance, and enhancing data quality across enterprise systems. Advocate for and implement data quality governance and standardization across enterprise systems, significantly enhancing data integrity and reliability.
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Provides end-user support for quality control activities, including data validation, review, and approval processes. Demonstrates proficiency in master data management and data governance principles.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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GW Hospital received the American College of Cardiology's National Cardiovascular Data Registry (NCDR) Chest Pain - Myocardial Infarction (MI) Registry Platinum Performance Achievement Award for 2023.
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In addition to these recent U.S. News & World Report recognitions, GW Hospital also provides high-quality care in the region through its designation as a Level I Trauma Center and designation as a Comprehensive Stroke Center.
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RAND is seeking a savvy and experienced Legislative Analyst III to support congressional outreach on science and technology policy, including artificial intelligence, biosecurity, cybersecurity, data privacy, and innovation policy, as a member of our team of seasoned policy professionals in the Office of Congressional Relations (OCR.
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Performs statistical analysis, applies data mining techniques, and builds high-quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Lead Software Engineer, Full Stack (Enterprise Data) Work with Product, Data Ethics & Privacy Office (DEPO), Architecture, and other Tech Leaders to ensure all work is completed, tested, and deployed in a timely manner.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video, and geo) across 500+ languages and dialects.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis.
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Support GDIT’s FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities. Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala.
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data quality jobs Title: business Company: Insight Global in Mclean, VA
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