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Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics. As a Cyberhill Engineer, you and your team will be responsible for developing and maintain data pipelines by Extracting, Transforming, and Loading data into data science compute environments, data layers, and standalone systems, and programmatically interface environments to datasets throughout the Customer organization.
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Experience of working under own initiative and in planning and prioritizing workloads University or technical college degree or equivalent qualification in relevant sciences such as: Medicine, Pharmacy, Chemistry, Biochemistry, Biology, Microbiology, Biotechnology, Health Technology, Toxicology, Physics, Biophysics, Material Science Biomedical Engineering, Mechanical, Electrical or Electronic Engineering, Computer & Software Technology, Human Physiology, Nursing, Quality Management.
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Our team boasts unparalleled experience in software and systems engineering, with competencies spanning across a multitude of high-demand areas, from cloud-native technologies and software modernization to embedded engineering, data science, and beyond.
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In business for more than 52 years, we excel in full-spectrum cyber, data collection & analytics, enterprise IT, and systems and software engineering solutions that support national and homeland security.
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Bachelors Degree in a technical field such as Information Technology, Computer Science, Engineering, Environmental Science, or Management Information Systems. Leads consultant teams that configure/deploy environmental health, safety and sustainability solutions; specific activities include drafting and publishing system design documents, configuring technical specifications and components within the solution, analyzing/migrating data, and developing custom reports/dashboards and automated interfaces.
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B.S. or higher in computer science, computer engineering, data science, machine learning or equivalent. 2-4 years of experience developing Machine Learning Applications in Python using popular Machine Learning and Data Science packages and frameworks such as Keras, Scikit-learn, Pandas, PyTorch, Flask etc.
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The ideal candidate is a hands-on platform builder with significant experience in developing scalable data platforms, with experience in business intelligence, analytics, data science and data products.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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A degree in Computer Science, Computer Engineering, Informatics, Information Systems, Data Science, or any other relevant work experience or certifications. Experience processing and visualizing geospatial data with GIS software: PostGIS, ArcGIS/QGis, GeoMesa, etc.
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Bachelor's Degree in Information Technology, Cyber Security, Computer Science, Computer Engineering, or Electrical Engineering. Implement and monitor DFC Data Loss Prevention (DLP) capabilities.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses.
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Experience in at least one of the following fields: AI development, AI architecture, AI policy, data engineering, AI legal policy and emerging technology, data architecture, and/or library science.
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The team provides Software and System Engineering, Software and System Development and Operations (DevOps) services, Data Science, Big Data and Entity Resolution Engineering services advanced data discovery, analytics, exploitation, and visualization capabilities through application development and tools integration.
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Oversee software deployments and improve the Microsoft TFS CI/CD pipeline. Have some experience with CI/CD pipelines, Microsoft BI Cube, data warehouses, or reporting. At least 10 years of experience with programming and software development including analysis, design, development, implementation, testing, maintenance, quality assurance, troubleshooting and/or upgrading of software systems.
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Bachelor’s degree from an accredited university ideally in Computer Science, Information Assurance, Information Security System Engineering or related field with a minimum of 12 years of experience as an Information Systems Security Engineer (ISSE) or Network Engineer on programs and/or contracts with the customer space.
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software engineering data science jobs in Washington, DC
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