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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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The Director, Product Data & Catalog will call on their expertise in master data management, data governance, data quality & people leadership, to effectively manage and improve the data elements and operations of a complex product & vehicle catalog, including translating business’s strategic goals into future-state data management, governance, engineering, and data science solutions.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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About the roleAs the Data Office Digital Lead, you are responsible for the digital solutions in support of UCB’s data strategy, in particular, focused on governance, cataloging, and search.
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Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
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Engage and implement data governance policies and procedures to ensure the integrity, confidentiality, and availability of research data. Oversee the design, development, and implementation of informatics systems and tools that support the research community, including clinical trials management systems, electronic health records, and data repositories.
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The Model Risk Management team works with analysts and leaders in Finance, Actuarial, Data Science, and other modeling disciplines to ensure enterprise standards are met for the creation, management, operation, and deprecation of models.
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Knowledge of BI reporting with PowerBI, Metadata Management, Data Governance, Master Data Management, and Data Catalog. 12 years of experience in data management and/or governance; preferably in Automotive, aftermarket parts, repair parts, or similar industries (such as industrial parts, MRO, etc.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Strong understanding of data governance practices, including data quality management, metadata management, and data lineage. : Lead the creation and maintenance of a scalable, high-performance unified data warehouse that provides optimized data access for analytics, reporting, product integration, machine learning, data science, and generative AI use cases.
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Work with digital and strategy organizations to execute data governance policy creation and compliance. A bachelor's or master's degree in business administration, computer science, data science, information science or related field, or equivalent work experience.
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Experience in data platforms and processes including STIBO/STEP, Data Governance, Master Data Management, and Data Catalog. The Content Data Analyst, Product Data & Catalog will call on their expertise in master data analysis, enrichment, management, governance, and quality control to effectively manage and improve the data elements and operations of a complex product catalog, including setting goals, strategy, and standards for data, content and the category experience they support.
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We are a global leader in environmental consulting with world-class expertise in environmental, social and governance (ESG), climate resiliency & sustainability (CRS), and earth sciences. Bachelor’s degree in chemistry, environmental science, geology, or related field.
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Chemistry, Communication, Continual Improvement Process, Data Compilation, Environmental Science, Food Safety and Sanitation, Food Sciences, Food Technology, Green Solutions, Laboratory Testing, Leadership, Microbiology Testing, Product Development, Project Management, Quality Control (QC), Researching, Sensory Testing, Sustainability.
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Understand the Data Lifecycle and concepts such as lineage, governance, privacy, retention, anonymity, etc. Help company modernize its hybrid technology database solutions, including the opportunity to work on modern warehousing and database integration technologies using familiarity with fully virtualized cloud environments and Hybrid Cloud Data Warehouses as well as Snowflake and/or Redshift Data Warehouse implementation experience.
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data science governance jobs in Atlanta, GA
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