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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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A person will be most successful in this role if you have knowledge and experience in all aspects of philanthropy, giving trends, benchmarks, and best practices; research; fundraising techniques and strategies; data analytics; and development operations such as gift processing, prospect and donor research, and fundraising reporting.
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Serve as a Subject Matter Expert (SME) on development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards.
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This role will be a member of the Data Analytics & Reporting team at NFFG. The team possesses a wide range of expertise ranging from data engineering, data governance, data science, data & analytics, model development, business intelligence, and internal management and reporting capabilities.
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Together, we are a global leader in Diversity, Equity, and Inclusion (DEI) in emergency management and climate resilience, providing client support through assessments, strategy, data science, education, planning, training, exercises, econometrics, coaching, trauma-centered community engagement, equity audits, capacity building, and effective implementation.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
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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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Objective 2: Respect for human rights and democratic values are embedded in the development and design of digital technology and data management. We support clients ranging from the U.S. Government (e.g., the U.S. Agency for International Development, U.S. Department of Defense, U.S. Departments of State and Labor, and the Millennium Challenge Corporation) to large bilateral and multilateral donors (e.g., the World Bank and the United Nations Development Program.
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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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We build on the strength of our research and development expertise and a distinctive, entrepreneurial culture that encourages diversity, innovation, creativity, sustainability, and, simply, fun.
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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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Summer Associates should be able to work as part of a team to assemble compelling evidence from data and research that forms the basis for our expert opinions. Projects range from subject matter research to data collection to the preparation of economic, statistical, financial, and other forms of analysis.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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data science research and development mining jobs Title: director in Arlington, VA
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