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The faculty in the department conduct research in areas such as cybersecurity, cyber identity, computer vision, data science, big data, quantum computing, artificial intelligence and machine learning, cloud computing, software engineering, multi-agent and social computing.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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The Principal Enterprise Data Architect should have an in-depth understanding of healthcare data and analytics, data warehousing, Business Intelligence, Epic Cogito, cloud computing, how to leverage data science solutions and AI, and electronic health records platforms.
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Produce progress reports on key infrastructures – Databricks, Elastic and Data PipelinesWhat you bring to the role: Bachelor Degree or Post Graduate in Computer Science, or relevant work experience.
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Provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Responsible for providing professional and scientific expertise in the application of data science disciplines for complex problems to include machine learning and deep learning algorithms, data wrangling, statistical analysis, visualizations, programing and computer science, distributed computing, cloud computing, data science ethics and/or other related scientific principles, methods, and techniques.
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role.
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Experience with big data and cloud computing environments, Azure and Snowflake preferred. For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications.
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Description SAIC's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. What you’ll do Sight and Sound play a large role in our day-to-day experiences.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. required with AWS/Cloud development/computing and OpenCV experience.
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Experience working with Cloud Data Warehouses/Platforms, especially Snowflake, Redshift, Databricks, and BigQuery. Thousands of enterprises including Cisco, DocuSign, Pacific Life, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI.
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In computer science, we seek candidates who can contribute to Software Engineering, Cloud Computing, Mathematical and Statistical Foundations of Computing, Quantum Computing, High-Performance Computing, Theory and Algorithms, Artificial Intelligence, and Databases.
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