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In math, statistics, or data analysis; sociology, demography, or related social science; urban geography; computer science; transportation; planning; engineering; public policy or administration; GIS for multimodal transportation; or related field.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps , and integration capabilities.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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COMPETENCIES REQUIRED:General:LSC is accepting applications from current undergraduate or graduate students studying Sociology, Political Science, Data Science, Computer Science, Criminology, Law and Society, Urban Planning, Public Health, or related fields; current law students with familiarity or interest in quantitative analysis are also encouraged to apply.
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3+ Years of hands-on work with ETL/Analytics tools (Alteryx, Azure Data Factory, Talend, Mulesoft) You should be a well-versed in the Digital Media / Web Analytics / AdTech space, knowing all about industry standard KPIs and how to Qualifications and Education Requirements BSc/BA in Computer Science, IT or relevant field Required Skills Specific owned DTC site experience is what we are looking for.
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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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Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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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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Collaborate with the Science and Evaluation team and Director of Program Operations to establish and implement procedures for spatial data collection including quality assurance/quality control (QA/QC.
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7 years experience with Core products or eight years experience with Applications products, BS Computer Science/Management Information Systems/Science/ Engineering/Math/Physics/Chemistry with 3.0 GPA OR (for Applications) proven professional/ technical experience, i.e., demonstrating an understanding of Applications at a functional and technical level (preferably Oracle.
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This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science. Data Science contributions include assessing, understanding, designing, and implementing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists.
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Use the "Apply" button on this page or simply email your resume to Aileen Hedden at with “ PCORI – Program Officer, Implementation Science #2024-2820 SA ” as the subject of the email. As a Program Officer, Implementation Science at the (PCORI), you will be responsible for high-level program planning and management, oversight of an award portfolio, and leadership of program activities supporting PCORI’s implementation science agenda.
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BASIC QUALIFICATIONS Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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A deep understanding of data science and machine learning best practices, development processes, and leading platforms (Databricks, SAS, Anaconda, Alteryx, etc.) Experience in advanced analytics solutions (data science, machine learning, data modeling, etc.
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data science jobs Title: science director Company: Oracle in Mclean, VA
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