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PhD in a relevant field, including: Statistics, Mathematics, Data Science, Computer Science/Engineering, Electrical Engineering, Medical Informatics, or a degree related to Biology with substantial experience in computational and statistical work.
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Our team covers the full range of data analytics and data science, including data architecture, data engineering, data visualization, predictive analytics, machine learning, and robotic process automation (RPA.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Master's degree or PhD in computer science, data science, systems engineering, software engineering, or information systems. Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy.
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Either a doctoral-level degree in biomedicine or a biological related field, or a master's level or higher degree in engineering, bioinformatics, or another field related to data science.
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Education: Bachelor's degree in Drafting, or related physical or geospatial science such as Civil Engineering Technology, Construction Technology, Cartography, Information Technology, Computer Science, Urban Studies/ Planning, Architecture, Engineering, Interior Design, Geography, or Construction related field or a 7 years' professional experience in Bentley ProjectWise, including Bentley and Autodesk suite of applications.
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The Information Technology and Applications Center (ITAC) of the National Heart, Lung, and Blood Institute (NHLBI), a component of the National Institutes of Health (NIH) at the Department of Health and Human Services (DHHS), is seeking exceptional candidates for the position of Data Science Architect (DSA.
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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server 2016 and 2019 Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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8 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
$158,960 - $286,130 a yearFull-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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PhD in data science, computer science, management information systems, mechanical engineering, electrical engineering, power systems engineering, or related field.
$102,285 - $173,884 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
engineering data science jobs in Falls Church, VA
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