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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Data Warehouse and Big Data Experience: Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and especially DataBricks.
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About the role As the SAP S/4 HANA Finance Functional Lead, you will be responsible for various development activities associated within the SAP Finance module, Vendor Invoice Management (VIM) and the SAP Master Data Governance - Financials (MDG-F) modules.
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Will assist in the rollout of CNB’s Data Governance reporting and strategy structure that includes: Data Governance and Policy, Data Quality and Control, Data Strategy and Architecture, Master Data Management, and Analytics Data Management.
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Strong understanding of data supply chains, master data management, data governance maturity models. Required QualificationsBachelor’s Degree in Information Science, Computer Science/Engineering, Information Technology, or related field a minimum of 3 years of relevant experience focused in data governance, data quality management or library science or an equivalent combination of relevant education and experience.
$97,494 - $119,160 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working with a chemical corporation to find an SAP Master Data Governance Consultant. SAP Master Data Governance (MDG) Advanced knowledge of master data management, real-time streaming data and cloud technologies.
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We seek machine learning engineers with a passion for sports to implement, automate, and optimize the quantitative models that power our world-class sports intelligence platforms in baseball, basketball, cricket, football (American), hockey, soccer, and tennis.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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Clinical Document Governance Management (CDGM) is accountable for strategy and delivery of clinical document management (CDM) systems, processes, standards and operations of CDM services (including Trial Master File management (TMF), clinical submission readiness, record retention and archiving, Good Documentation Practice capability build) across Novartis globally.
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Enterprise Data Management: Proficiency in data management strategies including data governance, data quality, and master data management.
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These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Develop and maintain best practices, standards, and guidelines for data management, data governance, and data security in alignment with regulatory requirements and industry standards.
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Data Management : Proficiency in data management strategies including data governance, data quality, and master data management. Experience in Master Data Management for critical business entities supporting master data set across the bank.
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