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The Data Scientist is responsible for designing, developing, maintaining, and deploying machine learning, simulation, and optimization models using Databricks and Spark (PySpark). Knowledge of additional data science methodologies beyond vanilla machine learning: simulation methodologies such as system dynamics (SD), agent-based modeling (ABM), and discrete event simulation (DES); deep learning; the application of ML / DL to unstructured data such as text, audio, images, and video; and optimization.
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Hands-on experience with AWS services such as S3, Glue, Redshift, EMR, Athena, etc. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Four or more years of progressive, hands-on experience with Enterprise cybersecurity toolsets (e.g., RedSeal, NetWitness, StealthWatch, Ivanti IDAC, DISA HBSS/ESS, McAfee ePO, Trellix, Elastic Security, SentinelOne Singularity, CrowdStrike Falcon, Tanium XEM.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Hands on experience of at least Agile tools e.g. ADO, JIRA, Version One. At least 5 years of working experience as a Scrum Master or Release Train Engineer.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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Solid hands-on/technical knowledge of core technologies including but not limited to AD, O365, WAN/LAN/Wi-Fi, VOIP, Core Networking, Cloud Services, Video Conferencing fundamentals and printing.
$219,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Role also requires hands-on familiarity with ESI tools and knowledge of eDiscovery procedures and resources. Must have hands-on familiarity with a variety of computer applications, including word processing, databases (such as document review and file management systems), spreadsheets, and imaging.
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Hands-on experience running Tenable or vulnerability tracking/scanning systems. Hands-on experience with one of the enterprise cybersecurity toolsets: HBSS/ESS , Trellix and ePolicy Orchestrator.
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Hands-on experience with using modifying and customizing penetration testing and red teaming software frameworks (Cobalt Strike, Kali, etc.) Hands-on experience developing payloads that bypass A/V and EDR solutions for use in various phases of a red team exercise.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Supports defining, enhancing, evolving and demonstrating Steampunk’s point of view and delivery approach related to Machine Learning, Data Science, Data Visualization, Data Engineering, Data Architecture, and Data Strategy services to the Federal market.
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Services available with the Viking Sewing Galleries include assisted sales through demonstrations, sewing machine repair service, free machine operation classes, consumer classes and events.
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Significant working experience as a Scrum Master or Release Train Engineer. At least one of the certifications - CSM, PMI-ACP, SAFe SSM, SAFe RTE or SPC. The Scrum Master works closely with the Product Owner, team, and others needed for team to deliver the initiative’s capabilities by removing impediments, facilitating all standard agile ceremonies, and fostering an environment for high performance.
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Foundational Knowledge of Google Big Query, Node.js, CSS, Python, Domo, machine learning concepts. Hands-on experience working with Adobe Data Collection and integration with AEP using WebSDK.
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hands machine jobs Title: architect Company: Databricks Inc in Arlington, VA
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