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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. We are a multi-faceted software development and systems administration team working to build and maintain software applications backed by a self-managed cloud infrastructure (OpenStack) with a true big-data footprint (over 10 petabytes.
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Our client seeks a Machine Learning Engineer to provide data science and data engineering services, including developing data models, data ingestion/transformation, analytics, and machine learning.
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The Data Scientist will create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard.
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Ability to perform basic data queries and create executive summary data visualizations using SQL, Google Data Studio, Tableau, Alteryx, Qlik etc. Audit experience in a Big 4 Public Accounting firm or Risk Management experience including performing assessments, designing controls, and managing enterprise control frameworks.
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HII Mission Technologies is seeking an experienced Senior Data Scientist to help support our customer in Fairfax, VA. This position will act as the leader in identifying ETL tools to be incorporated in a data science enclave and participate in implementing a cloud-based environment into that data enclave.
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Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j Geo-related mapping experience Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm.
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Business Computers Management Consulting Group, LLC (BCMC) is a small business specializing in Information Technology (IT), Cybersecurity, Information Assurance (IA), SOA, Big Data Management, Program Management, and more for Federal, State, and Local agencies.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), big data frameworks (Spark or PySpark ), and associated data science libraries (scikit-learn.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Create data science and data engineering products that include data models, data ingestion/transform, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g., file output, database output, standard/streaming output) or a user interface or dashboard.
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Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success. Bachelor’s degree or higher in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Mid-level work experience as an Systems Engineer.
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We focus on big data, data science, data analytics, cloud capabilities, system architecture, web, enterprise, and mobile application development. We have paved the way building systems ranging from Big Data and analytics to microservices-based architectures for innovative and effective solutions for our customers.
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3+ years of hands-on experience as a data engineer, cloud engineer, or software developer with at least 2 years focused on AI/Client and/or big data solutions. Bachelor's Degree or higher in one of the following fields: computer science, data science, or another computational field.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Required Education: BS Computer Science, Computer Engineering, Computer Information Systems, OR Computer Systems Engineering. Experience and/or familiarity with DevOps, Continuous Development/Continuous Integration concepts, and automated test tools such as Docker, Jenkins, Kubernetes, JIRA, Git, Chef, Ansible, Puppet, Junit, JMeter, RSpec, and/or Cucumber.
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data science big jobs in Herndon, VA
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