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Proven experience with programming languages such as R or Python and data visualization/exploration tools. Work closely with our lab team to develop, execute and maintain custom pipelines for data processing and quality control (QC) for biomarker data such as flow cytometry, cell-based assays (e.g. MSD portfolio), next-generation sequencing, gene expression, IHC and similar.
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As a Senior Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
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The team's premiere skill set is IBM RACF. The team also supports ETF/R, zSecure, and other host-based application security platforms. Main function we are looking for is RACF administration, both zSecure and ETF/R are tools used to help in administration of RACF. The focus is on administration (not product (software)/tool support.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
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The incumbent supports the development and operation of the monitoring programs by collecting, validating, transforming, and analyzing data from the regulated entities, using a variety of tools such as Microsoft Excel, SAS, Stata, R, Python and others to organize data and support technical conclusions.
$117,783 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data science analytics capabilities, including creating big data SQL queries, scripting in Python, Pyspark, R, SAS, and cleaning unstructured datasets. Experience with conducting technical and data analysis and tracing cryptocurrency transactions through crypto and cyber data platforms.
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Maximus is seeking a Data Scientist to spearhead AI and data initiatives for the Department of Defense's Chief Digital and Artificial Intelligence Office (CDAO). Experience with data science techniques, classical machine learning, and deep learning for anomaly detection.
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We are seeking a talented Data Scientist to join our team and drive innovative GenAI initiatives focused on solving complex financial challenges in the retail industry. Strong programming skills in Python, Spark, Scala, or R, with hands-on experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Additional knowledge and experience with adjacent capabilities in the areas of Enterprise IT; Cyber Operations, ITSM and Managed Services; Data Center, Cloud and Cloud Migration; Data Transport and Systems Integration; Application Development and Modernization; Big Data and Data Analytics is a plus.
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QuartzBio is a data and information management SaaS company that transforms sample and biomarker data to accelerate and power drug development for biotech and pharma R&D teams. To be successful in this role, you will have a proven track record of achieving sales targets and building successful relationships with key accounts in the industry - authentically engaging with senior executive decision makers (heads of biomarker operations, data science and translational science teams), navigating complex enterprise sales cycles and landing new business.
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As a Project Portfolio Analyst, you will support overall portfolio management processes within the Agile Portfolio Management Office (APMO) by managing and maintaining portfolio data in Azure DevOps and conducting thorough analysis and reporting of project portfolios.
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NTT DATA is part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Our client, NTT DATA Americas, Inc, is seeking the following.
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Data Engineer (MongoDB/Databricks with DevOps) Strong experience with Databricks for data analytics and pipeline development. Develop and optimize data pipelines and workflows using Databricks.
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r data jobs Title: scientist Company: Inc in Cabin John, MD
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