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BS degree in Land Planning, Engineering, or Environmental Science preferred. Working knowledge of State and Federal developmental and environmental laws and local municipal planning and zoning requirements, civil engineering, land planning, and city/county.
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Experience with data science, machine learning, and/or artificial intelligence. Advanced degree (Master's or PhD) in Computer Science, Electrical/Computer Engineering, or similar field.
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GovCIO is currently hiring for a Data Scientist with a strong Data Engineering background to design, develop, and maintain our data infrastructure on AWS, and to create descriptive and predictive models that impact productivity, decision-making, and provide strategic mission impact.
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Technical degree i.e. BE / B.Tech / M.Tech / MCA / M.Sc. in Computer Science / Management Information Systems / Engineering / Math / Physics / Chemistry or proven professional and technical experience.
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Bachelor's Degree or equivalent in Environmental Science, Civil/Environmental Engineering, Geomorphology, or related field. Proficiency using GIS, including experience with geodatabases, collecting/importing/manipulating data, creating mapping, and using related field equipment.
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The institute is equipped for every step of the translational research process and houses a MAGNETOM Terra 7 Tesla (7T) MRI scanner, PET/CT, Cryo-EM and high-resolution electron microscopy, Clinical Translational Science Unit, Integrated informatics and data analytics spaces, Good Manufacturing Practice (GMP) spaces for pilot-scale manufacturing, and clean rooms for tissue engineering and device fabrication.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery.
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Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As a Senior Associate in our Risk Analytics and Modeling team, you'll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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3-5 years of health care data interpretation, analysis, and reporting experience required, Clinical background with EHR experience (eClinicalWorks), Pharmacy point of sale systems, and/or population health management systems preferred.
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Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in the financial crimes space; and, Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, Power BI and QlikView.
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Whether your current position or job skill is a data entry clerk, administrative assistant, receptionist, warehouse or factory worker, driver, medical assistant, nurse or health care worker, call center or customer service representative or anyone who is looking for a part-time, remote, work from home job, this is an excellent position to supplement your income with great flexibility and zero prior experience needed.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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A graduate degree (Masters/PhD) in material science, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline. Bachelor’s degree in materials science, computer science, mechanical engineering, aerospace engineering, or similar technical discipline.
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Minimum of Bachelors degree in Engineering or Environmental Science or a related discipline and 15+ years of relevant experience. Knowledge of sustainability reporting protocols, including Carbon Disclosure Project (CDP) for climate and water, Greenhouse Gas Protocol, Sustainability Accounting Standards Board (SASB), Global Reporting Initiative (GRI), and Science-Based Targets Initiative.
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engineering data science jobs Title: data engineer in Columbia, CA, France
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