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The major areas of research include, but are not limited to electronic, optical and magnetic materials, polymers, ceramics, composite materials, nanomaterials, energy materials, quantum materials and devices, biomaterials and medical devices, additive manufacturing, data science of materials, theoretical and computational materials.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, 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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Undergraduate degree in computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, or other fields, or equivalent experience.
$181,200 - $249,150 a yearFull-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Degree (Masters preferred) in Computer Science, Information Systems, Data Science, or related field and 3-5 years of experience in data engineering, or an equivalent combination of education and experience.
$110,400 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts.
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Healthcare, Commercial office, Hospitality, Science and Technology, Federal Projects, High rise Residential, Mission Critical)Autodesk REVIT experience. Your Impact Provide designs for telecommunications systems (Structured cabling systems, telecom spaces, and pathway infrastructure) and other related disciplines such as electronic security, audiovisual, and data network systems.
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The Cornell Lab of Ornithology is a globally recognized leader in technology, data management, and large-scale participatory science supporting birds and biodiversity conservation. We rely on a team of high-performance engineers to help navigate intriguing technical challenges to provide data-driven services, learning platforms, and science communications supporting biodiversity and conservation communities in all corners of the globe.
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Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Key Responsibilities The Medical Science Liaison (MSL) is a member of a field-based team of scientists who function as an extension of the US Medical Affairs organization. The MSL role embodies our medical mission to be recognized as the trusted partner for internal stakeholders and the healthcare community, driving scientific exchange to enhance medical education, data generation, insight generation and patients’ access to medicine.
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You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.
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PharmD or PhD in the STEM disciplines: bioinformatics, Public Health, Pharmacology, Toxicology, Biology, Biomedical Engineer, biology, biostatistics, epidemiology, health informatics, or pharmaceutical science.
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Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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data science jobs in Mclean, VA
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