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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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The GPS AI & Data (AI&D) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Potential Certifications: PMP, ITIL, PMI)Analytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization. MIS: Management Sciences, Decision Sciences, Information Sciences, Product Management, Project Management, Program Management, Portfolio Management, Human Communications, Strategic PlanningAnalytics: Database Technologies, Artificial Intelligence, Machine Learning, Data Science, Data Visualization, etc.
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Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesDemonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau.
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Proficiency in Python, R, SQL and experience with data visualization tools (Looker, Tableau) Data Visualization: Create informative and visually appealing reports, dashboards, and data visualizations to communicate insights to cross-functional teams, with tools such as Looker Studio and Tableau.
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Data Visualization: Effective data visualization skills for time series and geospatial data. Education: A higher education degree (MSc or PhD level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent.
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The Data, Analysis, and Visualization group, located within NREL’s Computational Sciences Center, is seeking a full-time software engineer with experience in visualization research and UI/UX. The software engineer should be dynamic, motivated, and have a strong interest in advancing the renewable energy mission of NREL by supporting world class research, innovation, and leadership in computational science.
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By means of data analytics, you are expected to have an extensive level of ability and proven skills in various tools such as Alteryx, SQL, Python, and Excel in addition to data visualization tools such as Power BI. This role will allow you to combine your technical knowledge, data analytics and data visualization skills to drive highly valuable business and commercial insights to our clients.
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Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing.
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Experience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc. Demonstrated ability to oversee visualization of data and analytical results, proven record of reporting program results a broad array of stakeholders including executive leadership.
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Enable business and IT vision to span all data platforms (relational, NoSQL) and data tools (Data Visualization, Data Catalog, Data Virtualization and Advanced Analytics/Data Science)Stay informed on initiatives across the enterprise to help product owners and IT leadership effectively prioritize.
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Experience with building AWS cloud-native data science applications. Either a patent, or speaking roles at major data science conferences (Open Data Science conference, etc.
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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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