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Experience in defining and operationalizing data strategy, data governance, data lineage, and quality standards. Experience with defining and operationalizing data strategy, data governance, data lineage and quality standards.
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The Clinical Research Data Specialist I manages the data for assigned research studies. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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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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Ensures the quality of clinical data within the EDC and other databases through regular data review and external data reconciliation processes and communicates any outstanding issues to the cross-functional teams.
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Collaborate with software developers and machine learning engineers and follow data science methodologies around model selection, training data set sampling strategy, model validation and monitoring to ensure quality and performance of models in production.
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We are seeking a Full-Time Data Quality Engineer to join the Center for Health Care Data as part of the UTHealth School of Public Health in Houston, TX. Applies the principles of data quality across a range of data sets and their intersection, including but not limited to administrative claims, electronic health records, social determinants of health data sets, and others.
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You will be pivotal in conducting internal audits, collecting, and analyzing production data to evaluate product quality, and driving root cause analysis to recommend corrective actions.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Experience with handling multiple data workstreams on a project, for example: data governance, data migration, master data management, data quality. You intimately understand the data lifecycle, data governance, data architecture and integration, master data management, data migration, and business intelligence.
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Under the direction of the Revenue Cycle Education Leadership team, Revenue Cycle Quality Assurance Specialist will assist in data collection, data analysis, reporting, coordination of projects, assist in implementing processes, and communication of efforts.
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Creating and implementing data management processes and procedures, such as data governance, data modeling, data integration, data migration, data quality, and data backup.
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3+ years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Help define data quality metrics associated with the quality of data ingested into Collibra.
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The Data Analytics Specialist will work on a variety of research projects to inform emerging questions in health services research including describing social needs referral and resolution patterns, testing hypotheses related to service quality of minoritized populations (e.g., racial/ ethic disparities; LGBTQ+ care; refugee health), or other emergent issues in primary care (e.g., suicide prevention; chronic care and value-based payment efficacy; substance use disorder.
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The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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data quality jobs Title: data specialist Company: Spectrum
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