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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. You will continue to stay up to date on the latest relevant scientific literature and translate your learnings into evolving best practices in data science at Genmab.
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Skills Needed: Blend Between Technology Consulting & Engagement Management Within Data Solutions Ideally someone who comes from consulting background, no specific industry needed Someone not far removed from Modernized Data Environments & Tech This person is Not an Architect, Engineer or Delivery Manager, but most likely used to be pre leadership Not looking for an Account Manager, Business Development Director or Project Manager 15+ Years Of Exp Min.
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This position will report to the Senior Director of Data and Analytics in the Walmart Health & Wellness Digital Transformation Office. Option 3: Master's degree in Computer Science and 4 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field.
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Working knowledge and experience with Azure Data Lake, Databricks, Metadata Management, Master Data Management, Data Quality, Data Lake and Analytical platforms; experience with technologies like Azure Cloud ecosystem, Databricks, Informatica MDM, Informatica IDQ, Informatica Policy Engine, Collibra, Databricks Unity Catalog is required.
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Option 1: Bachelor's degree in Computer Science or related field and 6 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field.
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Build and increase customer data science workloads and apply the best MLOps to productionize these workloads. As a Data Scientist / ML Engineer, you will be the trusted technical ML expert and work with our data engineering team to architect production-grade ML applications on Databricks.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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The Data Analytics Director will be responsible for overseeing long-term data-related development projects, including a partnership with MaineIT to build out OCPs data management infrastructure and assisting in the selection of the next inventory tracking vendor following a competitive bidding process.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. 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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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
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Experience in designing and implementing data pipelines and ETL processes using tools like Azure Data Factory/Airflow and Azure Databricks/Azure Synapse. Knowledge of Azure Data Platform including Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure HDInsight, Azure Cosmos DB, Azure Data Lake Storage, Azure Stream Analytics, and Azure Data Factory.
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Position Overview: We are seeking a talented and motivated Data Analyst to join our team in Tucson, AZ. The ideal candidate will have experience with Python, R programming, SQL scripting, and data visualization tools such as Tableau or Power BI. Additionally, familiarity with Snowflake or similar data warehousing platforms is highly desirable.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
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data job Title: science director Company: Execunet
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