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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. What you need to succeed Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. The engineer will work individually or in a small integrated team, and potentially lead a task, project, or team.
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Three to six or more years of relevant project experience in successfully launching, planning, executing data science projects. 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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Experience in at least six of the follow technical areas: network design and development; data center network services; virtual private network (VPN) services; Trusted Internet Connection (TIC) Services; network backbone services; collaboration with external Internet service providers (ISPs); Voice over IP (VoIP) implementation and quality management; wireless networks; IP address management (IPAM) services; Dynamic Host Configuration Protocol (DHCP) Services; and Cloud Network Services.
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Experience combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats. After the Contractor has made its review and assessment/s, NGA will perform a final approval assessment of the DNC/ENC/CPENC/LPC/DWC/TOD/SMENC/AML. Data conversion between different mapping file formats, including but not limited to VPF, S-57, S-101, ASCII.
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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. + AI/ML Application: Apply machine learning and artificial intelligence techniques to enhance data processing and analytics capabilities.
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The Litigation Data Specialist reports to the Global Market Intelligence Manager, with a dotted line to the Global Director of Client Development. Litigation Data Specialist The Litigation Data Specialist will work on data collection for various key metrics that are specific to the Firm's Litigation matters.
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Crystal Management is seeking an experienced Data Architect to join our team on a full-time basis to provide unparalleled support to our US Army Corps of Engineers (USACE) customer on the Construction Management Platform (CMP) modernization effort.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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The Senior Clinical Research Coordinator is responsible for the implementation of clinical studies at all levels, including but not limited to: study feasibility, IRB applications and related forms, data collection forms, patient screening and enrollment, data analysis, sponsor/IRB communications, verification of investigative procedures to accomplish research goals, and preparation of reports.
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Review newborn screening and surveillance data, including aggregate reports and individual case studies, and provide recommendations to improve the quality of newborn screening and birthing facility maternal and newborn discharge protocols.
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Proven experience conducting large scale data analysis and utilizing big data tools such as Jupyter Notebook, Maltego, Palantir, etc. Proactively hunt for threats and undetected abuse by leveraging internal data sets, open-source intelligence, and third-party private intelligence.
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In this role the Research Nurse Coordinator screens, enrolls, plans, implements, and evaluates protocol-related care of participants and data for assigned research projects. Interprets radiology and other test results and reports data using RECIST or other criteria.
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You’ll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
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As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.
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big data jobs Title: data project manager in Arlington, VA
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