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The Senior Staff Data Scientist for Beckman Coulter Diagnostics is responsible for research, design, and development of data science/machine learning solutions for Hematology related products.
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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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Building capacity and expertise in the quantitative disciplines (e.g., data science, biostatistics, informatics) and other scientific disciplines across FDA; The incumbent Acts on behalf of the Commissioner to provide executive leadership, guidance, and oversight of assigned programs, including direct line authority over the National Center for Toxicological Research (NCTR); the Office of Counterterrorism and Emerging Threats; the Office of Regulatory Science and Innovation; the Office of Scientific Integrity; the Office of Scientific Professional Development; and the Office of Laboratory Safety.
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Transportation Engineer 2 : Either 1) Master’s degree in transportation engineering, civil engineering, transportation planning, urban planning, computer science, or a related field. Transportation Engineer 3 : Either 1) Master’s degree in transportation engineering, civil engineering, transportation planning, urban planning, computer science, or a related field and two years of applicable work experience.
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Our federal clients include the U.S. Departments of Agriculture, Education, Health and Human Services, Housing and Urban Development, Labor, the Treasury, and the National Science Foundation. Master's degree in education, Rehabilitation Counseling, Sociology, Political Science, Economics, Public Policy, or a related field.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Minimum of an undergraduate degree, preferably in Digital Forensic Science or Computer Science/Engineering. Perform forensic data collections and basic forensic analysis in both on site and remote capacity.
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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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Contribute to the Global Data Science (GDS) community through team engagement activities like recruiting, Data engineering coordination’s, study group, etc. Lead data science engagements supporting Regional and Community issuers, including project oversight, coaching and professional development.
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Employ mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/ or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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CT State CC-Campuses Courses include the following: Astronomy Biochemistry Biology Cannabis Studies Chemistry Data Science Earth Science Environmental Science Geography Horticulture Mathematics Natural Resources Physics These positions are on continuous recruitment, and are filled on an as-needed basis, depending on course offerings, enrollment and specific department needs.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
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Develop and use integration architecture to guide the Collibra implementation team and the Collibra resident architect with the integration of prioritized content (including structured and unstructured data assets such as licensing agreements, codes, and models) and data sources to enable (and to the greatest extent possible, automate) the import, augmentation, and synchronization of use case implementation.
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The successful candidate must hold a doctoral degree in genetics, genomics, bioinformatics, biostatistics, computer science, computational biology or other related disciplines. Specifically, this support will include the following activities: accessing, extracting and preparing data for analysis, developing and maintaining bioinformatics pipelines, conducting analysis of genetic and molecular epidemiology data within and across omic platforms including use of integrative analytic methods, organizing results into clear presentations and concise summaries of work, and maintaining experience with state-of-the-art bioinformatics tools and data repositories.
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data science jobs Title: architect Company: Zoom in Bethesda, MD
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