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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results.
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Experience working with military sea-based sensors and data (e.g. radar, electronic warfare, electro-optical, infrared, sonar, and weapons data.
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Success in the role will be dependent upon an interest in and ability to lead in a remote, data-driven, technology-enabled environment. · Works closely with MGB BMH leadership to deliver on an established cadence, the performance and efficiency metrics to track, analyze, and present data demonstrating progress, impact, and areas for improvement.
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You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads.
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Knowledge of Big Data systems, including Hadoop, HDFS, Hive, or Cloudera. We are seeking a seeking a great mid level data architect with data visualization tools who love to spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances.
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Expertise in using Python or Scala, Spark, Data Modeling, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms. Plus: Expertise in using Python or Scala, Spark, Data Modeling, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL.
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Strong communication skills and the ability to present complex data in a clear and concise manner, using tools such as Power BI Experience with big data technologies, such as Hadoop or Spark, is a plus Strong problem-solving skills and the ability to work independently or as part of a team.
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Experience using industry data sources and tools such as Direct Data Solutions (DDS), GDS EDIFACT/NDC, settlement and Sabre Prism or other sources - required. We think big, embrace challenges and explore new ideas to lead the way for the travel industry.
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McLean Hospital is a comprehensive psychiatric hospital committed to providing easy access to superior quality, cost-effective mental health services in the Boston area, Massachusetts and beyond. Since 1811, McLean Hospital has been a world leader in the treatment of mental illness and chemical dependency, research into the cause of mental illness and the training of generations of mental health care providers.
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As a data architect on our criminal justice team, you'll use your extensive technical expertise to lead the design of data architecture solutions for virtualization, big data analytics, and cloud computing.
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This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon.
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big data jobs in Arlington, WI, Florida
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