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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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Cover letter (not to exceed three pages) addressing:Your education, experiences and specific skills that align with the requirements necessary for the role of Data Science Architect.
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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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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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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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We're looking for a data architecture Senior Manager like you to solve complex challenges and deliver leading-edge solutions for cloud-based enterprise data architectures that support business operations, advanced analytics, business intelligence and data science initiatives within the federal government.
$122,200 - $227,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Defined Modern Cloud Architect ure for Muti-Modal Data Ecosystem (MODE) aiming at consolidating (physically and virtually) structured, semi-structured and unstructured data across multiple modalities (clinical, pathology, radiology, genomics) into a hybrid cloud ecosystem for research, ML/AI, Data Science, Analytical and Operational reporting.
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Lead a team of developers and clients will be a mix of clinicians, computer scientists, data architects, and life science SMEs. May wear multiple hats: architecture design and development, code reviews, mainframe deployment and customization, responsible for the system quality of the solution being delivered to the business.
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Selected candidate will provide technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation, systems engineering of data workflows, development of technical data artifacts, data acquisition from Public and Private sector data sources, and data analysis requirement collection.
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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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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps , and integration capabilities.
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The Jr. DB Architect will be responsible for working with our data engineers/scientists to provide data documentation and convey requirements from other task areas to our team. Understanding/working knowledge of various data sources (e.g., Refinitiv, Crunchbase, Panjiva, NIST NVD, MITRE CVE, etc.
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Support and establish control processes and guidelines around ETL tasks, data maintenance and data visualization. Support development and maintenance of data governance frameworks, policies, and procedures within Supply Chain in coordination with enterprise technology framework.
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Bachelor's degree in Business, Engineering, Management Sciences, Computer Science, Information Systems, Social Science, Education, Human Resources Development, and Psychology or other related disciplines and twelve to fifteen years of experience or Master's degree and ten to twelve years of related experience or PhD and eight to nine years of related experience.
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data science jobs Title: architect in Mclean, VA
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