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The [School of Information (SOI) ]( three master's degree programs, MLIS (Masters in Library and Information Science), MARA (Masters in Archives and Records Administration), MS in Informatics and an undergraduate degree in Information Science and Data Analytics (BSISDA.
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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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Looking forward from 2021, our Department offers Bachelor of Science degrees in Justice Studies, Justice Studies with a Concentration in Criminology, and in Forensic Science with Concentrations.
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Develop a data science strategy and roadmap for People Analytics, aligned with organizational objectives. 10+ years of experience in applied data science, with at least 3-5 years in a leadership role within People Analytics.
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Must be familiar with the design process of building systems for data center and mission critical projects. Data Center Construction Project Manager- Owner's Rep – Portland, OR. We are looking for a Data Center Construction Project Manager to support critical facility construction projects.
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About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Bachelor's degree in data science, statistics, econometrics, quantitative sociology or a related scientific major, with 3+ years of related work experience. TikTok-Data Science-Music team is responsible for building the music ecosystem and the artist service in Tik Tok, cooperating with all key value chains in TikTok. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions.
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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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Bachelors of Science in either Engineering, Industrial Engineering, Materials Engineering, Chemical Engineering, Data Analysis or Statistics, Chemistry or Physics. Able to extract, summarize, interpret and present process data.
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Downtown San Jose features the Tech Museum of Innovation, devoted to the exploration of science and technology. 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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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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Hands on experience in SAP IBP time series and order-based planning data models. Correct any master data warnings and errors in supply planning and ATP confirmation runs. Knowledge of IBP Master data types such as Product, Location, Compound Master data – Location Product, Location Source, Production source Header and Item, Production Data Structures (PDS), Transportation lane.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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The Data Intelligence risk control team in global payment team is responsible to optimize payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
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data science jobs Title: chemical process engineer in San Jose, Maumelle, Arkansas
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