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Bachelor's degree (master's degree desired) in related field required (preferably in Geography, Social or Behavioral Science, Computer Science, Information Systems, Math or Statistics, Earth or Geo Science, Life, Physical or Environmental Science, Engineering, Business, Data Science, Data Visualization.
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Implement data architecture initiatives on data quality, data governance, data standards, and data policies across all core business functions to ensure consistency in data definitions and data usage Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation.
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Experience with Microsoft Office Suite, Adobe Creative Suite (especially InDesign, Illustrator, and Photoshop), Virtual collaboration platforms, such as Miro and Mural, Space and building design software, such as AutoCAD and Revit, Data analytics and visualization programs, such as PowerBI and Tableau.
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Access and compile data from various third-party administrative data sources (e.g., Small Business Administration’s 7(a) and 504 loan level data, de-identified Transaction Level Reports and Annual Certification Reports from the CDFI Fund, and socioeconomic and demographic indicators from the Census.
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Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. Analyze sparse microbiome data and large-dimensional data from genomes, metagenomes and metatranscriptomes.
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HUBzone, WOSB, SDVOSB, VOSB, data science, devsecops, cyber, oracle, tanium, program management, information technology, engineering services, architecture and engineering, Powder River Industries.
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A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires.
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Master's degree in International Affairs, Political Science, Foreign Area Studies, National Security Studies, Linguistics, Business, Library Science, or a related field preferred. As an open source intelligence (OSINT) and publicly available information (PAI) analyst on our team, you'll explore new data sources, create effective queries, and combine information from disparate sources to support the military client and operational partners.
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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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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Minimum of 2 years' with bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Operations Research or Business Administration. Minimum of 15 years' with bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Operations Research or Business Administration.
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RESPONSIBILITIES: Partner with business leaders and other stakeholders to share relevant HR data for their organizations to improve their team’s productivity. BASIC QUALIFICATIONS: Bachelor’s degree in data science, computer science, information systems, mathematics, or a related field.
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At Capital One, you will be a vital contributing member to a tiger team responsible for identifying cybersecurity gaps and seams and solutions on how to address them, to include highlighting the need for new or enhanced projects that create business value and reduce critical cyber risk.
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The FR-27 includes the FR-26 requirements and requires technical and analytical ability along with oral and written communication skills typically acquired through the completion of a Bachelor’s Degree in Computer Science, Information Systems, Business, or a related discipline and 6 years related experience or the equivalent combination of education and relative experience in the application functional arena.
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business data science jobs Company: Ark Solutions in Washington, Beech-grove, Indiana
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