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As a patent attorney within this practice, you will likely deal with a broad spectrum of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), enterprise and mobile applications, databases, web and cloud services, operating systems, software user interfaces, open source, 3D graphics, grid computing, networking, telecommunications, network protocols, IEEE standards, network security, etc.
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The NOAA Fisheries Office of the Assistant Administrator, Office of the Chief of Staff is tasked with monitoring and providing staff support for the execution of NOAA Fisheries regulatory, science and operational activities.
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Master's degree in International Affairs, Political Science, Linguistics, Economics, Library Studies, Cultural Studies, or Regional Studies preferred. Open Source Research and Strategy Consultant.
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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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We have considerable flexibility as to whether work is done in person or remotely (and are open to internships which are fully remote). · Should have a relevant course of study and have completed coursework in any of the following fields: International Relations, International Law, Security Studies, History, Communications, Journalism, International Economics or Political Science.
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Experience with deployment and management of data science tools and modules such as JupyterHub - 3 Years. This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Complete Description: 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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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory). The platform will be designed for District wide use and integration with other OCTO Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools.
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Experience with open-source programing languages typically used for data science tasks including, but not limited to, Python R and C, and ESRI ArcGIS Enterprise. Bachelor’s Degree in Computer Science or a related field.
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Leading and supporting a diverse portfolio of investigative projects including but not limited to open-source and public records due diligence, FCPA investigations, complex investigations, business intelligence, market entry research, etc.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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Significant academic background in a field such as Computer Science, Engineering, Operations Research, Mathematics, Statistics, Political Science, International Relations, or Public Policy.
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Provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs At least 3 years’ experience in PyTorch/Tensorflow At least 3 years’ experience with machine learning At least 1 year of experience working with AWS.
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Benefits: Competitive salary 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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