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POC for building an embedding store leveraging autoencoders Build frameworks to fast-track model development to deployment lifecycles Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.
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Leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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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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Experience working in distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS. Join the Enterprise Data Science team at Evernorth Health Services as an ML Engineering Intern.
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Preferred Experience interacting with various database and file storage systems (DB2, IDMS, Oracle, Hadoop, NoSQL), data manipulation language (i.e. SQL), and / or data visualization tools (i.e. Tableau, Power BI.
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Proficiency in common geospatial software applications and data analysis scripting and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, MATLAB, R, Git, or Tableau.
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Experience with Big Data solutions and no SQL DBMSs. Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Azure App Insights, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps.
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Experience in any of the following tools/platforms preferred:Databases: MS SQL Server, Oracle, PostgreSQL Data Integration: Qlik Replicate/Compose, SSIS, Informatica Cloud: Azure, AWS, GCS BI: PowerBI, Tableau, SSRS MDM: Microsoft Master Data Services, Alation.
$171,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Assists the physician with the performance of various diagnostic and interventional procedures, by monitoring, passing instruments and catheters, observing patient response to procedure, maintaining sterile field, interpreting and evaluating diagnostic data to be utilized by the physician.
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Minimum five years of recent experience in cyber security operations, such as data loss prevention, data discovery and classification, threat detection engineering, threat analysis, threat hunting, incident response, vulnerability, and configuration monitoring with the goal of attack surface reduction.
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Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components) Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community. Description We are looking for a Senior-level TS/SCI-cleared Data Scientist Analyst to join our team.
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Bachelor's degree from an accredited college or university is preferred; relevant certifications include CISSP, CCSP, CCSK, GSEC, GCIH, GCFE, GCFA, SC-200, CEH, and AZ-900. Experience defining security monitoring rules, monitoring events, assessing risk, responding to incidents and providing security oversight related to the security features of IT tools supported by the IT operations teams; practical network and administration skills with Linux, Windows, cloud security, Active Directory, SIEM and security infrastructure (including Microsoft Sentinel and related technology stack, such as Microsoft Purview) are relevant; experience with scripting or automation.
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Data Analysis: Proficiency in data science tasks, including data visualization, analyzing large datasets, predictive analytics, machine learning, natural language processing, identifying trends, and drawing actionable insights.
$100,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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B) Good oral, written and electronic data communication skills enabling the translation of facts to/from a variety of sources both within and outside of the laboratory. T) Credits/charges in the hospital information system or prepares batches for Data Processing.
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big data jobs Company: Nestle in St Louis, Amarillo, Texas
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