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Extensive experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. + Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
$205,400 - $342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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The Chief Data Official and Director of Data Engineering and Artificial Intelligence is responsible for leading our data and artificial intelligence strategy, and execution of related programs and practices that drive measurable business outcomes.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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As the Principal Data Engineering Architect, you will oversee the strategy, architecture, development, and operation of Airwallex's data and AI platforms. Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture.
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DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, bioinformatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, health artificial intelligence and machine learning, privacy technology, global health informatics, equity in informatics, population health informatics, quality informatics, vital records and public health informatics, and translational bioinformatics.
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Experience and wide-ranged technological knowledge Data Science, Machine Learning, Artificial Intelligence, and Security in a PCI/SOCII compliant environment. Provide technical leadership for best practices across the technology stack, Data Science, Machine Learning, Artificial Intelligence, and Security.
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Experience in autonomous and collaborative systems, hypersonics, calibration of radar and/or EO/IR sensors, or Artificial Intelligence / Machine Learning. You will perform critical radar and/or electro-optic/infrared (EO/IR) system trades, resolving complex signal processing problems, and advising program and engineering management teams in pursuit of organizational business targets.
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Maintain community awareness to inform and develop unique uses for artificial intelligence, automation, and augmentation technologies (AAA) for human geography exploitation. Collaborate with Intelligence Community (IC) Agencies and Open Source Libraries to identify and acquire information/sources required concerning the analytic process to create and exploit human geography datasets such as cultural, socio-economic, population, political, historical and religious activities, terrain, land cover and soil data.
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New faculty are expected to participate in designing and teaching a modern materials science and engineering curriculum, with expanded topics in quantum science and engineering, both at the undergraduate and graduate levels within the Department.
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We are looking for a threat intelligence analyst who is passionate about securing the desktop computing environment, loves macOS, and is committed to driving security investigations and improvements in macOS. At Apple, our mission involves securing and protecting over a billion endpoints; operationalizing threat intelligence into security engineering decisions affecting every layer of the stack; and touching the lives of everyone who interacts with our products.
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As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond.
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The successful candidate will collaborate closely with University researchers to develop novel interactions between computational and biological sciences by applying the tools of multi-omics high-throughput data generation, statistics, computational modeling, and artificial intelligence to the understanding of biological interaction networks with biomedical applications.
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7+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
$103,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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