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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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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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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.
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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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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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CT State CC-Campuses Courses include the following: Astronomy Biochemistry Biology Cannabis Studies Chemistry Data Science Earth Science Environmental Science Geography Horticulture Mathematics Natural Resources Physics These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
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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 4 days ago - UpvoteDownvoteShare Job
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Extensive knowledge in Python, SQL, Python data science libraries (Pandas, Numpy, Scikit-learn, etc.) You exhibit excellent knowledge of the data science and data engineering disciplines, including experience working with large datasets in a Python/SQL environment.
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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 6 days ago - UpvoteDownvoteShare Job
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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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Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.
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Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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Qualifications: Bachelor’s degree in computer science, science technology, international relations, political science, economics, law or a related interdisciplinary field with minimum of eight (8) years of experience supporting development activities (USAID-funded activities preferred.
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M.S degree in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. Ph. D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.
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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.
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data science jobs in Bethesda, MD
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