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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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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. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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In collaboration with the Chief Information Officer, Chief Information Security Officer, Chief Artificial Intelligence Officer, Senior Level professionals in analytics and AI, and other stakeholders, the CDO works to improve Agency processes based on insights derived from available data and effectively communicates the value and importance of data to executives and staff.
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience in conducting data research and development to integrate emerging technologies and techniques in data science and analysis such as analytics, machine learning, and cloud computing into organizational decision support systems and processes focused on transportation safety.
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Familiarity with big data / visualization tools such as PowerBI, Tableau and the core concepts of relational data. Interprets data to identify trends, patterns, and insights to recommend business decisions.
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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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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Omics data processing and analysis of next generation sequencing (NGS) datasets and Multi-omics data integration. Work with the laboratory lead to develop network/systems biology approaches, including analysis of regulatory networks, integrative analysis to combine evidence from multiple data modalities.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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BS/BA Degree in Bioinformatics, Computer/Data Science, Archives/Digitization Management, or Library/Information Science. We are currently seeking an experienced, versatile Quality Assurance Analyst to provide support for NIH’s Common Data Elements (CDE) Repository, a platform that facilitates the discovery and reuse of common data elements across biomedical research studies.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Previous experience performing research in Data Analytics or Big Data. A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
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Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift. Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
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big data jobs Company: Nationwide in Washington, DC
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