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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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The Technology organization works to influence WMG's strategy and optimize day-to-day operations through data, insights, workflow, and machine learning, including generative AI. This position sits within the Technology organization, working closely with colleagues across WMG's recorded music and songwriting/publishing businesses.
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Collect and analyze data using statistical and Artificial Intelligence /machine learning algorithmsSupervise and assist undergraduate students working on research projects and act as a liaison/mediator between undergraduate students and the faculty researcher.
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Solid understanding of privacy issues in relation to evolving technology (e.g., mobile, cloud, data lakes, machine learning). Previous experience in information or data governance control activities, in the financial services industry Certification in Information, Data, Privacy Records, or Security such as CIPP, CIPM, CRM, CIPT, CISSP, IGP, CISM, and CISA is a plus, but not a requirement.
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Experience in Big 4/public accounting performing audits and related services for a diverse client base, and at least 7-8+ years of transaction services / due diligence experience. Data gathering, manipulation, and analysis.
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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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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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Experience designing, configuring, and implementing SAP Master Data Governance (MDG) Experience in developing RICEFWs specific to SAP Master Data Governance. Experience in Floor Plan Manager/Web Dynpro ABAP, Rule Based Workflow configurations, MDG BADIs, BRF+, Classes & methods, Data Replication Techniques.
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LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python.
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Cleans and disinfects dialysis machine surface, chair, equipment, and surrounding areas between treatments according to inpatient renal services policies and procedures. Performs all required pre-treatment dialysis machine alarm testing.
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Archival Data Analysis for Learning: Collect, clean, and analyze archival project data to extract insights and facilitate evaluative learning. Support at least One Bid or Proposal: Tailored to the requirements and capabilities of the SBS & Learning team, provide integral support in crafting and formulating proposals for funding from USAID , incorporating expertise in Monitoring, Evaluation, and Learning.
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Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics. Responsible for designing, maintaining, and deploying artificial intelligence (AI) / machine learning (ML) solutions on cloud-based systems.
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Data Science contributions include assessing, understanding, designing, and implementing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists.
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big data mining machine learning jobs Title: scientist Company: Ehs Technologies in Washington, DC
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