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Data Management and Analytics: Oversee the collection, integration, and analysis of large-scale scientific data sets, from the lab to the trials, utilizing advanced analytics and machine learning to extract valuable insights for drug discovery and development.
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Oversees the development of data delivery services to support critical operational processes, analytical models, and machine learning applications. Knowledge and understanding of machine learning techniques and natural language processing (NLP.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
$138,100 - $227,800Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As an established Software Engineer, NSA has opportunity for you to contribute, learn, and grow in virtually any Computer Science focus area, including: Cybersecurity, High Performance Computing (HPC), Quantum Computing Research, Data Analytics, Machine Learning/Artificial Intelligence (ML/AI), Cryptology/Cryptography, and countless others.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
$80,000 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Many of our clients are trying to keep up with companies based solely on an interconnected supply chain; we modernize their supply chains using artificial intelligence, machine learning, and connected products resulting in a competitive asset for the entire organization.
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The position supports: the creation of a safe, positive teaching and learning environment; student development in the intellectual, physical, social, emotional, behavioral domains; nurturance of positive productive relationships; integration of technology to support student learning; and exposure of students to ethical and professional role models.
$13.17 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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General knowledge of data technologies, including Business Intelligence, Machine Learning, Predictive Analytics, Artificial Intelligence, and how they can be leveraged in an application and UX design; excellent skills in Microsoft Office Suite including Excel, Access, PowerPoint, Word, Outlook, Teams; experience with SAP or other ERP billing systems a plus.
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Experience with designing and implementing systems that affect sales behavior, such as CRM, SFA, CPQ, Quote-to-Cash; experience with the Salesforce platform, design approach, configuration and integration; revenue Cloud/CPQ is a major plus.
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Essential requirements: Ph. D. in Computer Science, Data Science, Electrical Engineering, Mechanic Engineering Mathematics, or Physics with some research background in the area of machine learning, natural language processing, or software engineering.
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As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.
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Own machine-learning model development cycle (identification and definition of business questions, data preparation and manipulation, model implementation and optimization, and deployment.
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Understand and suggest ways to deploy cloud-based machine learning services Upskill in other areas of Data and Analytics as needed Responsibilities Understand and Implement CI/CD Pipelines Gain a comprehensive understanding of Continuous Integration (CI) and Continuous Deployment (CD) methodologies, and tools such as Jenkins, Github, CloudFormation.
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We're known for low volume and high capability with focused specialization in areas including software-defined radios, advanced antenna solutions, artificial intelligence and machine learning, cybersecurity, signals intelligence and more.
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