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Additional duties include managing complex projects from start to finish, collaborating with the HR Data Manager to promote data governance and enhance data quality and insights, and providing HR Reporting and Analytics to key stakeholders.
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The Quality Manager will be part of an integrated team of Quality professionals which ensures compliance to company quality and food safety policies and programs, and support quality activities driving continuous improvement.
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This role will establish a centralized capability, aligned with Otsuka IT, to design, create, test, deploy, manage and maintain the D&A architecture, as well as work with partners within D&A to enable data collection, curation, quality, consolidation, preparation, testing, deployment and maintenance of databases.
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Conducting operational analysis of DDC and associated equipment using JCI Metasys, Smart Grid analytics, and data from other applications such as AMI and SCADA. Performing quality assurance for Smart Grid and DDC energy analytics.
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Monitoring and Observability: utilize AI to automate monitoring, diagnose errors, and maintain data and quality. Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces.
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Serve as a subject matter expert to BMS internal audiences related to Asset/Indication-level communication landscape, HCP preferences, publication and scientific content planning, data disclosure/dissemination, and represent BMS scientific communications to external investigators, key authors, and journal editors.
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This outstanding leader and data scientist will be a member of Neuroscience Data Science and Digital Health's Digital and AI measures team, working to optimize the precision measurement strategy for our drug development pipelines in Neurodegeneration.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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Data Processing platforms such as Databricks (or Snowflake) Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus. Expertise in Cloud Data Warehouses in Redshift, BigQuery, or analogous architectures is a plus.
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Duties: Support application developers, data scientists, and application architects and interface with product leads by drawing on experience with AWS Cloud Architecture, including Cloud Network, Large Scale Account Management; AWS Big Data & AI/ML Expertise; AWS DevOps; Azure Cloud Architecture; GCP Cloud; and key applications such as Informatica Data Catalog, Cloudera Data Platform, Okera and Domino.
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Analyzes data and creates reports/visualizations in R, Python, SQL, or Power BI. The Advance Analytics co-op will be involved in multiple global projects focused on data ingestion, computation, transformation, and visualization.
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Cloud Computing and Big Data: Oversee the migration and transformation of on-premise systems (such as Cloudera Hadoop) to Databricks on AWS/Azure, leveraging tools like Redshift, Athena, and DynamoDB.
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We are looking for a highly motivated real world evidence (RWE) Lead of Data Science who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Toronto-based RWE analytics team at Clarivate.
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The developer will assess the quality of both manual and automated tests, validate data sourcing, conduct required sampling governance or distribute samples for testing, and design or revise sampling procedure documentation, with expert level efficiency and quality.
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data quality jobs Company: Spectrum in Pennington, NJ
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