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With supervision, the Senior Decision Scientist role will support extraction-transformation-load including understanding of the data sources; distributed research methods and queries using industry common data models (e.g. Sentinel, OMOP, PCORI); research questions; data management; space management; and, data quality.
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Five years working experience with OEM quality systems (GE, Rolls Royce, P&W, Honeywell, etc.) Sr. Quality Engineer aims to ensure that the product or service an organization provides is fit for purpose and meets both external and internal requirements, including legal compliance and customer expectations.
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40% - Manages data models, data repository requirements, data dictionaries, warehousing requirements and other database parameters and documentation for the data lake, various databases, and dashboarding tools; ensures the quality, accuracy and security of databases.
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You'll be at the forefront of leveraging cutting-edge ML and AI technologies, ensuring the highest data quality and integrity. Professional Growth: Engage in professional development focused on data concepts, management, and quality.
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Collaborate with SMEs, data stewards and architects for data collection, preparation, integration, quality, exploration and retention. BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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Operate as the Subject Matter Expert (SME) for the PC&A business across data availability, quality, processes, and technology for all EHS, Risk, Insurance, Quality, Cost Control and Document Control functions.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Ensure effective designs and quality deliverables in the ML space by designing and developing machine learning and deep learning systems, running machine learning tests and experiments, implementing appropriate ML algorithms.
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Epsilon provides comprehensive and high-quality IT support to WAPA in the areas of; Software maintenance and development, Network, Database, and Operations Support/Management, Supervisory Control and Data Acquisition (SCADA), Cyber-Security, Solution Architecture, and Project Management.
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Experience managing Data Center Construction Projects as an Owner, as a General Contractor, or from a Trade. We are looking for a Data Center Construction Project Manager to support critical facility construction projects.
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Partner with data engineering teams to improve data assets, quality, metrics, and insights. - Oversee data quality including validation, cleansing/scrubbing, ETL methods, etc.
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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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Design, implement, and maintain CI/CD pipelines using Azure DevOps for data engineering projects. As a Mid-Level DevOps Engineer / Data Engineer, you will be responsible for implementing and maintaining DevOps practices, managing infrastructure, and supporting data engineering tasks.
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Experience working with data management projects having experience in data analysis, data governance, data quality and lineage. Serves as an analytics resource to wider organization or business units, offering expertise on systems and data output.
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Knowledge of yield analysis techniques and systems, understanding of processing techniques (Lithography, Etch, Implant, CMP, CVD, plating, diffusion, thin films, etc), yield engineering data analysis tools, and working knowledge of semiconductor devices.
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Data Acquisition: Prepare points lists of all data to be transferred between control centers and controlled apparatus, assign and program data addressing and routing information, develop Human Machine Interface (HMI) screens, travel to project sites to test and commission data transfer schemes.
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data quality jobs Title: informatica Company: Kforce Technology in Phoenix, AZ
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