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The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Students acquire a comprehensive understanding and knowledge of the principles, methodologies and technologies of data science. The department is an academic hub, in partnership with other SJSU departments and industry partners, for promoting education and research in applied data science.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. The Vice President of Enterprise Data will report to the Chief Information Officer and lead a growing team, along with off-shore & near-shore resources.
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Bring your knowledge of computers and networking and take it to a new level in any one of the following product categories including: cloud, social, mobile/wireless, video, VoIP, big data, collaboration, web, Internet of Things, routing, switching, IPv6, data center, HPC, Telepresence and many more.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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We are looking for a Quantitative User Experience Researcher to help us understand the key needs of the design language using a combination of foundational and tactical quantitative research.
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Qualifications: The ideal candidate will have a PhD or Masters Degree in soil science, geochemistry, or a relevant technical subject matter, complemented by specific experiences in research program and project management.
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Define and Prove – You will gather insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for your product. Additionally, you will work with software developers, hardware developers and research scientists to enable an array of applications including AI, computer vision, healthcare, life sciences, autonomous vehicles, materials science, computational chemistry, quantum computing and related fields.
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As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to enable the next generations of technology, join us to Make Possible a Better Future.
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Develop light House accounts by identifying customers in retail, CPG and QSR market that would like to technically collaborate with NVIDIA Data Science and CV teams to build their own Edge AI solutions.
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The Meeting Manager/Coordinator is a contractor position, through Bay Area Environmental Research Institute, to work in the NASA Earth Science Project Office (ESPO) at Ames Research Center, Moffett Field, California.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
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QualificationsBachelor’s degree or higher in environmental management, environmental science, physical science, or related fieldMinimum of five years field experience that should include:Project managementClient relationsSite samplingEmergency/spill responseSite characterization and remediationCoordination with permitting and regulatory authoritiesCPESC/CESSWI CertificationDOT/RCRA CertificationCHMM, Hazwoper a plusMust have strong oral and written communication skills.
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As a People Analytics Senior Consultant, you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Surrounded by rolling hills, San Jose is the major technology hub in California's Bay Area. Nicknamed the Capital of Silicon Valley, San Jose is home to many global tech companies including Cisco Systems, eBay, Adobe Systems, PayPal, Brocade, Samsung and Western Digital, to name a few.
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data science a jobs Title: science director associate in Santa Clara, CA
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