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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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Reports To: Associate Director, Research, Data, and Technology. Doctoral degree plus minimum of five (5) years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, health policy, biostatistics, health economics, bioinformatics, data science, or health education) OR a Master's degree in relevant field (e.g., MPH, MPA, MPP; or MBA) plus minimum of seven (7) years of experience.
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There are a variety of Data Science opportunities across the Department, including supporting several specialized programs at the DHS Office of Strategy, Policy, and Plans (PLCY), the Cybersecurity and Infrastructure Security Agency (CISA) , DHS Office of the Chief Information Officer (OCIO) , and the Federal Emergency Management Agency (FEMA.
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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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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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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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Stewards, in partnership with the Office of Surface Mining Reclamation and Enforcement (OSMRE), seeks a Research Analyst to play an important role in assisting OSMRE’s Office for Equal Opportunity (OEO) to collect, analyze, and interpret data to determine primary Limited English Proficiency (LEP) populations located in areas where major coal mining industries are prevalent, in addition to other responsibilities.
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Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data. Knowledge of various CMS environments or systems, such as One PI, Fraud Prevention System (FPS), Medicare Provider Enrollment, Chain, and Ownership System (PECOS), Integrated Data Repository (IDR), Chronic Conditions Warehouse (CCW), and CMS AWS Enclave.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Experience in conducting research using relevant methodologies including: conducting interviews, capturing, and coding qualitative data; analyzing open-source intelligence and maintaining in a structured and organized way qualitative and quantitative data; and drawing inferences, themes, and sound conclusions.
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As our first Data Science hire focusing on Machine Learning at Circle, you'll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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An international leader in information science and data innovation, NLM supports and conducts research, development, and training in biomedical informatics, computational biology, data science, data standards, biomedical communications, and health information technology.
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Experience with working in cloud-based data science, database, big data processing, and reporting tools – preferably on Azure such as Azure ML, Power BI, Azure Data Explorer/KQL, Synapse, Databricks, etc.
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Conduct research in specialty areas of Political Science, specifically Black Politics and public policy issues and publish in professional journals, books, and/or electronic media that are consistent with the direction of the academic program.
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Able to work on-site work from 3-5 days per week at the UMD / ARLIS building in College Park, MD. The position does not support travel expenses from the employee’s lodging to the work site Preferences: Preferences : Master’s degree or Ph. D. in Computational Linguistics, Data Science, Statistics, Computer Science, Mathematics, Operations Research, or another related technical discipline.
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data science research and mining jobs Title: science director in Chevy Chase, MD
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