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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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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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Collaborate with internal and external stakeholders to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence.
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MetaPhase supports the Chief Information Officer (CIO) and Chief Data Officer (CDO) at the National Science Foundation (NSF). This project supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of NSF’s data infrastructure.
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Familiarity with Information Governance technology ecosystem and how it supports Information Governance processes including: enterprise content / document management systems, records management systems, archival systems, legal hold management systems, mobile device management systems, communication surveillance applications, privacy compliance management systems, data discovery and scanning, etc.
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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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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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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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Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. Analyze sparse microbiome data and large-dimensional data from genomes, metagenomes and metatranscriptomes.
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At least 4 years (Bachelor of Science) or 2 years (Master of Science) of hands-on experience performing proteomics or metabolomics sample preparation, operating, and/or maintaining LC-MS/MS systems.
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Doctoral degree plus minimum of two (2) years of experience in a discipline relevant to patient-centered CER (e.g., health services research, community-based participatory research, health policy, biostatistics, health economics, bioinformatics, data science, or health education) OR a Master's degree in relevant field (e.g., MPH, MPA, MPP, or MBA) plus minimum of seven (7) years of experience.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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Proven experience with data science/advanced data analytic techniques, such as using python, R, or other scripting languages. Bachelor's Degree or equivalent with 8+ years of professional experience as an intelligence analyst, data collector, or linguist.
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Bachelor's degree in data science, statistics, or a related field. Link data sets from program risk profiles, program baselines, financial and/or grants data, Capital Planning and Investment Control systems, internal review boards, USA Spending, US Census bureau surveys, internal survey data, and other data sets that need to be linked together.
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data science jobs Title: data architect Company: Zoom in Falls Church, VA
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