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Translational science, real-world data/evidence, artificial intelligence, or machine/deep learning; Data science or data management; Pharmacoepidemiology, biostatistics, or programming; Translational, observational, or health research; Health care, terminology, and communication; Health and data science ethics and equity, including diversity and inclusion; or Interprofessional teams and professional skills.
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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 Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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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.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lend your expertise in the development of solutions using machine learning, NLP, data profiling, and/or data mining to projects and proposals across the company.
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Key Responsibilities:Data Transformation and Modeling: Lead the development and maintenance of analytics workflows using dbt to clean, transform, and document raw data into consumable information and business logic.
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VTG is looking for an Applications Development and Security to provide support to PEO IWS Information Technology & Data and Infrastructure management. Develop and maintain tools, databases, and web sites for PEO IWS management needs not provided by the CIO infrastructure, or other source such as Small Business Innovation Research (SBIR.
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Working knowledge of program evaluation/outcomes research methods, predictive modeling and data mining. The primary focus of this position will be to provide strong analytics research support for Oncology Medical Management product initiatives that include, but not limited to, Oncology case management program evaluations, development and execution of various pilots related to Oncology consumer health engagement.
$109,100 - $181,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with conducting data analysis and data management, market and financial analysis, investment and equity analysis, operations research analysis, and critical and strategic materials expertise.
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Experience with audience research and/or opinion polling methods for large-scale initiatives, including identifying key metrics, establishing data collection processes, creating data curation, management and ethics practices; and creating reports.
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Support the overall management and day-to-day operations of the Information Technology functions, as used by PEO IWS. This includes monitoring the status of all unique and leveraged investments by PEO IWS in data centers, technical service centers, help desks, communication networks (voice and data), computer systems operations and maintenance, integrated data environments.
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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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Manage climate-related special initiatives and support Climate team functions, such as the climate help desk, climate transaction pipeline development activities, climate workforce development initiatives, climate webinars and outreach activities, climate research projects, and climate communities on CDFI Connect.
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Research topics cover a full range of public policy issues in economics, foreign policy, development, governance and metropolitan policy. Familiarity with quantitative research methods such as cleaning and processing survey data a plus.
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Maintain codebooks, lists, and training data on GDI’s growing list of adversarial narrative topics in support of the continued development of GDI’s automated data platform.
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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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research and development data mining jobs Title: director product management Company: Amazon in Washington, DC
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