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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position. C-Star Solutions is searching for a data scientist to support research and development efforts at National Geospatial-Intelligence Agency (NGA.
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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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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Support NGA in developing or reviewing TRD training materials, geospatial production workflows using ArcGIS Defense Solutions, and data quality assurance procedures, including the use of Geospatial Analysis Integrity Tool (GAIT), to evaluate co-produced data.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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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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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats Ability to utilize geographic names information from the GNDB. Ability to analyze imagery and non-imagery source information for application to NGA hydrographic products and databases.
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The Data Engineering Manager will deliver the support for the management and operations of its U.S. Department of State (DOS), Bureau of Population, Refugees, and Migration (PRM) Refugee Processing Center (RPC) Operations.
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Advanced 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. Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
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Specifically, the Software/Web Developer shall: Support business and intelligence dissemination processes that are located on NGANet/COE/JWICs, SECNet, and SBU with primary usage on NGANET/COE/JWICs∯*∯ Support production teams made up of analysts, data stewards, geospatial and imagery analysts, database engineers, data scientists, multimedia specialists, graphic designers, 3d designers, and editors to develop modern web conveyance products for special intelligence topics.
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Leidos Health Mission Solutions is seeking a Senior Network Architect specializing in Cisco data center design for a large network services opportunity supporting the National Institute of Health (NIH) in the Bethesda, MD area, contingent upon contract award.
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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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Understand basics of Data Engineering work and contexts of the data product development, accordingly customize the approach/process/artifacts to meet the delivery need of the team. Basic understanding of the Data Engineering and how it adds value to the organization.
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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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data job Title: sales representative Company: Vector Marketing in Springfield, VA
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