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Responsibilities include (but not limited to): Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements.
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Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), includingoffensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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NASA's Goddard Space Flight Center, nestled in the Maryland suburbs of Greenbelt, is just 30 minutes from the heartbeat of America - Washington, D.C. Now you can have it all - the nightlife, museums, great food and theatre, while working at a place that pushes the envelope of science every day, yet spy a deer or a Canada Goose, as you stroll the grounds of Goddard during lunch.
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This individual will be expert in fostering collaboration and will connect the College with companies, entrepreneurs, and organizations motivated to partner on information projects such as data science, data visualization, information management, database architecture, UX/UI, and website design.
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The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. If so, we're looking for someone like you to join our team at APL. We are seeking an engineer to help us perform developmental design assessments, performance assessments and data analysis of strategic reentry vehicles.
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The primary duty of this role is to support our nationwide team providing guidance and review support for incoming project and data quality documentation for a wide range of water quality protection and habitat restoration grant projects.
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In-depth knowledge and demonstrable experience with the intelligence production cycle, executive intelligence production, graphic design, web development, and data science and related technologies.
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The candidate will apply advanced machine learning methods, utilizing remote sensing data from NASA and other agencies, and commercial platforms, to support the development of integrated water cycle modeling tools in an open science environment.
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BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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Headquartered in the heart of Baltimore City, Maryland, Nyla delivers exceptional software systems engineering and data science services for the U.S. Government. , Required Skills Education: Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Technical Skills:Proficiency in object-oriented programming languages such as Python and Java and/or experience with computational analysis tools like R and MATLAB.Familiarity with data science libraries such as scikit-learn, PyTorch, keras.
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REQUIRED QUALIFICATIONS: BS in computer science, business intelligence or related fieldMinimum 5 years of experience developing BI solutions using Microsoft Power BI Experience with Azure Data Services is a plusExperience with scripting and programming languages such as Python is a plusExperience with Microsoft Business Intelligence stack (Power Pivot, SSRS, SSIS, and SSAS) is a plusOr, an equivalent combination of education and experience.
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Demonstrated capacity to lead behavioral science research projects including development, design, data analysis, and reviewing, compiling, writing, and editing research reports, briefings, and summaries to support research findings.
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The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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BASIC QUALIFICATIONSMaster’s Degree from an accredited, non-profit university or college, preferably in Computer Science, Statistics, Data Science, or a related field. Extensive programming experience with Python and proficiency in machine learning and data science libraries such as scikit-learn, statsmodels, pandas and matplotlib.
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data science jobs in Greenbelt, MD
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