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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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3 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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Master's in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field. Bachelor's in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field.
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Forensic Science Technician. A bachelor's degree in Forensic Science, Chemistry, Biology, or a related field. Willingness to engage in ongoing professional development and stay updated on forensic science advancements.
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Coordinate with internal product, engineering, and data science teams to translate customer requirements in order to generate insights for clients and inform product development. B.A. in International Relations, National Security, Foreign Affairs, Regional Studies, Political Science and/or related disciplines.
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Bachelor's Degree in a relevant field such as software engineering, computer science, computer engineering, electrical engineering, data science, mathematics, or aeronautical engineering.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Deliver on projects in the areas of critical data, data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
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Sustainability Science and Innovation (SSI) is a multi-disciplinary team within WW Sustainability combining science, analytics, economics, statistics, machine learning, product development, and engineering expertise.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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A minimum of three years of experience in imagery/geospatial analysis, geography, and Geographic Information Systems (GIS) or five years in data science, analytic methodology, or bathymetry.
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Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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Civil Engineering (especially Structural emphasis or interest), Chemical Engineering, Computer Engineering/Science, Cybersecurity, Electrical Engineering, Industrial Engineering, Materials Science, Mechanical Engineering, Manufacturing Engineering, Mathematics, Physics, Software Engineering, Structural Engineering, Quality Engineering, Industrial Engineering Technical, Industrial Management, Operations Research, Engineering Mechanics.
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Cloudera Data Platform Private Cloud and Public Cloud), Apache Solr as SME, automation tools (ex. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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data science jobs Title: laborer Company: Dow in Vienna, VA
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