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REB uses social science research, scientific methods and data science to inform, improve or evaluate the delivery of public safety services for all District residents. The purpose of this position is to provide data science and advanced analytical support, generating actionable insights from data and then presenting those insights in compelling graphical, numerical, and narrative forms.
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Cancer data quality measures reporting to the cancer registry manager. Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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Experience in executing data science methodologies using common programming languages, such as Python, R, SAS, VBA, or Scala; If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
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Uses data science input and requests, translates these from data exploration - large record (billions) and unstructured data sets - to mathematic algorithms and uses various tooling from programming languages to new tools (artificial and machine learning) to find data patterns, build and optimize models.
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This individual will be expert in fostering collaboration and will connect the College with companies, entrepreneurs, and organizations motivated to partner on information projects such as data science, data visualization, information management, database architecture, UX/UI, and website design.
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At least 5 years of experience in securitized cash flow modeling or model development with a data science background using consumer, commercial borrower, or customer behavior. Intense collateral performance analysis of consumer and/or commercial asset classes involving large, multi format data sets including: auto loan, consumer unsecured loan, point of sale finance, timeshare, small business loans, equipment finance, and/or leveraged credit.
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The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients.
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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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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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At least 5 years of experience in financial services, sell-side banking, buy-side investing, corporate financial planning, corporate consulting or data analytics. Center 2 (19050), United States of America, McLean, VirginiaSr. Manager- FIG Structuring, Analytics & Advisory.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Responsibilities include (but not limited to): Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements.
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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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data science manager jobs Company: Apple in Bethesda, MD
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