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We Offer a Broad Range Of Technical Expertise And Experience In Digital Transformation, Data Management/Data Science, And Systems Modernization. This includes all aspects of data creation, data cleansing, metadata creation, data integration, data warehousing, Extract, transform and load (ETL), business intelligence (BI), data migration, and data enrichment.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.
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Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano. Demonstrated experience with search architecture and data visualization tools (ex - ElasticSearch, OmniSci.
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GeoYeti focuses on advanced analytics, data science, development of the applications that support such work. Ideally some understanding of geospatial data storage. We seek a Senior Cloud Solutions Architect to support a client in Reston VA.
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Master’s or PhD in Computer Science, Engineering, Mathematics, Machine Learning, similar field of study or equivalent work experience. Extensive experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance.
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ANSER is seeking a DoD Real Property Data Architect to support the Deputy Assistant Secretary of Defense for Infrastructure Modernization and Resilience in the Real Property program. The Data Architect works with the client to analyze DoD real property information and develop, implement, and sustain the logical and informational data models that drive real property systems.
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Experience with leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud) Preferred fields of study: Computer Science, Engineering, or related technical field. Experience with leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud.
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Business Intelligence (BI),Data Science,ETL,Feature Engineering,Machine Learning Algorithms. + Machine Learning and Data Science: Strong understanding of machine learning algorithms, Data preprocessing techniques and feature engineering.
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Eight (8) years relevant experience in applied data science research or big data analytics. Bachelor's Degree in Computer Science, Engineering, Information Systems or related technical discipline.
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Master's degree in Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Expert level work experience as a System Architect.
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Design, develop, and maintain both new and existing code, ranging from client-side development using JavaScript, HTML, and CSS, to server-side code using C# and ASP.NET MVC, Web API, Windows services, and ADO.NET for data persistence and retrieval.
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Bachelors degree in Computer Science with a strong academic record. May include roles such as Application Architect, Portfolio Architect, Network Architect, Systems Architect, Mainframe Architect, Enterprise/Infrastructure Architect, Solutions Architect.
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