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Clinical data programming experience is a big plus (SAS, SQL, R, Python, JREview, Spotfire) ZS R&D Excellence Practice brings together experts in Strategy, Clinical Execution, Data Sciences and Technology to empower client organizations achieve their passion for patient care, science and business success.
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You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
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Build high-performing clinical data processing frameworks leveraging Google Cloud Platform, GCP Shared Services like Google Healthcare API, Big Query, and HL7 FHIR store. You will collaborate with analytic partners and business partners from product strategy, program management, IT, data strategy, and predictive analytics teams to develop effective solutions for our partners.
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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains. Tech. Problem Formulation: Requires knowledge of analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights.
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The Data Scientist will contribute to visualization, exploration, and development of new technology insights, product ideas, and game-changers that may hold the potential to add value to patients and Novo Nordisk in the future within therapeutic areas covered by Novo Nordisk corporate strategy.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.
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Experience with big data technologies ( Hadoop, Spark ) and data streaming services (Kafka). Their ownership areas and delivery responsibilities encompass data strategy, architecture, integration, security, governance, performance optimization, collaboration, documentation, monitoring, support, and scalability.
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This will include data strategy, data lineage, data warehousing and storage, cloud architecture storage, optimization, Spark, Hive, Scala, Big Data, and a deep understanding of how data is stored and accessed in a modern environment.
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As part of Capital Ones move towards a well-managed network security strategy, we are replacing the legacy f5 BIG-IP VPN to a new and flexible Palo Altos remote access cloud based solution - GlobalProtect/Prisma Access for the hybrid workforce.
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Strong experience working on Databricks, DBT and data visualization tools like Power BIStrong knowledge of database technologies, ETL processes, cloud platforms, and big data technologies.
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Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus. As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data.
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