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Develop and maintain insider threat risk scoring and other data analytics tools for customers to support insider threat detection and data analysis implementations. Educate relevant stakeholders in the theoretical and empirical bases of data science and behavioral science related to the deterrence, detection and mitigation of potential threats by providing or contributing to expert training briefs, presentations and educational courses.
$168,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Serve as a Subject Matter Expert (SME) on development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards.
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Skills: Azure Data Factory, Data Analytics, Data Architecture, Data Integration, Microsoft Power BI. Working together with the BI developers deploying data pipelines & data transformations which turn the raw data into relevant datasets and insights (using Databricks, Azure Data Factory.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. 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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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. Understanding of data modeling/visualization, database design principles, and data governance practices.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis. Veteran Firm Seeking Senior Data Engineer for a Hybrid Assignment in Crystal City or Alexandria, VA.
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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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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. This role involves developing and engineering data-related services and applications for cloud platforms, with a specific focus on AWS. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Responsibilities A Data Modeler at NGA analyzes, defines, processes, executes, and creates methods and models for data capture, transfer, processing, storage, and distribution. A minimum of three years of experience with Geographic Information Systems (GIS), statistical analysis, python programming, data science, business process improvement, or analytic modeling required.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark). Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
$134,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Responsibilities You would be directly supporting NGA by developing solutions that integrate technology, applied tradecraft techniques and processes, creating new products or paradigms that support advanced analytics and modeling, data management, application of modern software, artificial intelligence, and the future of work in this GEOINT space.
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Experience with Esri's Data Interoperability and Data Reviewer extensions or other ETL and data reviewer tools. Are you an Spatial Data/Database Administrator looking for your next long-term contract.
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Title: data Company: Comscore Networks in Springfield, VA
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