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Define and execute the vision, mission, and overall strategy for Data Governance products across Disney Entertainment & ESPN Technology. Partner with Analytics, Data Science, Data Architecture, Data Quality, Engineering teams, Product Design, and other Technical Program Management team members to develop, test, and deliver high quality products and features.
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Manage and guide AI model developments with LLM, NLP, knowledge graph development, data science, and data engineering elements of AI projects. We are seeking a highly skilled Data Scientist to lead high-profile data science and artificial intelligence projects.
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Masters degree in data science, data engineering, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field and 4 years of relevant experience in data science, data analytics, consulting (MBA Preferred.
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Align, implement, and oversee comprehensive risk management structure and corporate compliance programs by working closely with the General Counsel to ensure adherence to legal and regulatory requirements, including but not limited to anti-corruption laws, data privacy regulations, information security, data protection, OSHA Safety, Environmental, Social and Governance (ESG) compliance and industry-specific regulations.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Deep understanding of data governance principles, especially related to data cataloging, access control, lineage, and metadata management. Design and implement Azure cloud-based Data Warehousing and Governance architecture with Lakehouse paradigm.
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Principal Scientist, Bioinformatics Data Science Dyne Therapeutics is a clinical-stage muscle disease company focused on advancing innovative life-transforming therapeutics for people living with genetically driven diseases.
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Manage multiple contractors, oversee data governance, and drive innovation in data science, analytics and reporting. Develop and implement the company's data strategy, including data governance and data architecture.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The VP, Data and Analytics has primary responsibility to lead the data strategy, execution and maintenance of our data platforms (structured and unstructured), reporting and analytics capabilities, data science and automation capabilities as well as partnering on the broader data governance mandates.
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Products developed & supported by the Data Governance team support data management, access management, policy enforcement, sensitive data detection, consent management and more.
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Experience in data governance – either using Informatica Data Management tools [Axon, EDC, IDQ] or other similar Metadata collection & analysis tools [e.g. Collibra, Solidatus]. Strong Understanding of Data Management principles (Data Governance, Metadata Management, Data Quality, Data Architecture, Data Warehousing, MDM etc.
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Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits. 8+ years in the Data world, experienced in architecture, data modeling, data engineering and/or data governance.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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DUTIES: Serve as the subject matter expert (SME) for the development, deployment, and ongoing maintenance of J.Crew Group's data science models. TITLE: Senior Manager - Analytics and Data Science (J. Crew Group, LLC.
$204,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in data governance, data security, and data privacy principles or technologies: data discovery, tagging, classification, and inventory; data obfuscation techniques (encryption, pseudonymization, tokenization); data anonymization; data access control design and implementation / identity and access management (IAM); data encryption; data recovery, data loss prevention; scanning and alerting.
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Participate in building data security and data governance guidelines. Expert experience with Data Engineering tools such as Talend, SAP BODS, Kafka, Python, PySpark, Python APIs, Kubernetes, S3, Glue, Athena, EMR, etc.
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B.S. in ML/AI related field such as computer science, data science, statistics, applied mathematics, physics, engineering. Stellar Science is a growing Albuquerque-based scientific software development company seeking talented data science artificial intelligence (AI)/machine learning (ML) experts who are interested in helping create, extend, and apply exciting scientific and engineering analysis applications.
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data science governance jobs Company: Cigna in WA, Canada
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