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Manage, architect, and analyze big data in order to build data driven insights and high impact data models. Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Assist with the development of web applications to support management and visualization of environmental data, including applications such as R-Shiny, Power BI, and others. Review of in silico, in vivo, and in vitro datasets to develop statistical models of the data to support risk assessment, with a particular emphasis on New Alternative Methods data.
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The Senior Exploitation Specialist/Data Scientist will be responsible for developing tradecraft techniques and training solutions for discovering, preparing, manipulating, and normalizing big data so that methods are repeatable and can be explained to users.
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Develop and oversee methodologies for text data extraction, processing, and analysis, utilizing technologies such as Elasticsearch, Solr, or custom NLP tools. Hands-on experience with NLP, Elasticsearch, Solr, or similar technologies tailored for text data management and analysis.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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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.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred Knowledge of industry regulatory and compliance requirements, including FedRAMP, PCI-DCSS, NIST, or HIPAA Knowledge of Open Security Architecture (OSA), Cloud Security Alliance (CSA) and Well Architected Frameworks Experience with Security Incident Event Management (SIEM) systems, including tuning, building queries, and integrating new data sources.
$125,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Performing relative and absolute adjustments to Lidar data (calibration/alignment/registration) Experience in either Lidar data extraction and/or swath alignment. Processing and extraction of Lidar data from raw formats.
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These Qualifications Would be Nice to Have:Knowledge of data/server security needs within SCIF.Some experience installing, securing, configuring Intune and Microsoft: MECM or SCCM or MECP or MEMCM or ConfigMgr. Some experience with Agile/Kanban, Git/GitHub. Some experience with enhance data protection and compliance (such as OpenSSL, Keystores, Key Vaults, Cyphers.
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Praescient Analytics is seeking a Senior Project Manager - Data Governance that will function as a team lead providing data governance support to a critical homeland security mission. You will oversee a team implementing data governance tools and methodologies to increase data integration and collaboration across DHS and interagency partners.
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Familiarity with DoS environment (data and voice networks, IT security systems, policies and procedures), Foreign Affairs Handbooks (FAHs), Foreign Affairs Manuals (FAMs). Program is named "Vanguard" and is an IT consolidation consisting of the Department's servers, mainframes, network devices, network perimeter, anti-virus engineering, public key infrastructure (PKI)/biometrics/encryption, monitoring tools, telephony, mobile computing platform, virtual environment, and enclave design/security engineering.
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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Significant agile project management experience, as well as strong fundamentals in advanced analytics, data integration, and visualization leading agile projects.
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Hands-on experience designing and executing all activities of a comprehensive data quality management framework including DQ dimensions, data validation and testing, DQ scorecards and thresholds, DQ rules, data profiling, and data taxonomy mapping.
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Job Summary Battelle’s Cyber Solutions Division (CSD) is seeking an entry-level, Data-focused Linguist to work in our Columbus, Ohio, or Chantilly, VA , locations. Preferred Qualifications Bachelor’s or Master’s Degree in the above areas in political science, data science, foreign language, international relations, or similar.
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big data jobs Title: hadoop Company: At T in Vienna, VA
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