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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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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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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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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Proficiency in the use of analytical, statistical and econometric software packages such as STATA, Eviews, R, TSP, SPSS, Matlab and SAS.Preferred:Experience working with finance, budget, people analytics, macroeconomic data and writing macroeconomic research reports.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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We combine our expertise in public health and health care delivery with technology development and implementation, practice transformation, training and technical assistance, quality improvement, data analytics, and applied research and evaluation.
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You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data science, Artificial Intelligence, causal AI and Generative AI techniques, computational programing capabilities, practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners.
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SAS is comprised of Business and Technical Services, Advanced Research Computing (ARC), Biogeographic Science, Science Data Management (SDM), and the USGS Library.
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The Tuberculosis Data and Surveillance Advisor will primarily support the USAID office of Infectious Disease (ID), Tuberculosis (TB) Division as a Credence Institutional Support Contractor (ISC.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Experience with python and other data science tools, including pandas, numpy, networkx, etc. 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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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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Research, design, and implement programs that leverage data to increase earned revenue through increased attendance, new ticket sales and improve customer loyalty interactions with patrons and prospective patrons, with an eye to moving single-ticket buyers into subscription and group sales relationships.
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Advanced Computer Studies (UMIACS), The Applied Research Laboratory for Intelligence and Security (ARLIS), state s higher education system and a top-ranked public research institution.
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data research and mining jobs Title: science director in Chevy Chase, MD
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