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Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. Takes an active role in one's own professional development; stays abreast of analytical trends, and cutting-edge applications of data.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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The RSE will have the opportunity to create partnerships with members of the CMU Software Engineering Institute, the Machine Learning Department, the Department of Statistics & Data Science, and the Department of Electrical and Computer Engineering, which all rank among the best in the world in their respective fields.
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Experience with Modern Data Stack (MDS) tools, particularly Snowflake, or similar cutting-edge data technologies. Bachelor's degree in Data Science, Business Analytics, Computer Science, Software Engineering, Mathematics, Statistics, OR equivalent technical and professional experience.
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Innovation is in our DNA. We work on the pillars of “Triple Expertise,” which incorporates business process skills by domain, technological knowledge, and partnerships with cutting-edge software providers.
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FAU CECS is internationally recognized for cutting-edge research and education in the areas of computer science, artificial intelligence (AI) and robotics, computer engineering, electrical engineering, biomedical engineering and bio-robotics, civil, environmental and geomatics engineering, mechanical engineering, and ocean engineering.
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ISCD staff members couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, DoD, and civilian customers.
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Bachelor's, Master’s or Doctorate degree in Computer Science, Computer Engineering, Data Science, or a related field. We are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions.
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Relevant Bachelor’s Degree (Data Science, Analytics, Computer Science, Engineering, Mathematics, Physics, Business Technology, STEM, etc.) Innovation is in our DNA. We constantly innovate our value proposition with cutting-edge laboratories and transformational models to provide the ultimate analytics practices and solutions.
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Utilize cutting-edge technology trends, including cloud, machine learning and AI, to drive data-driven decisions, target operating models and new business strategies for clients. Participate in business process technical design, data strategy, development, testing and implementation of modern digital solutions, using industry leading vendor technologies including cloud-based technology platforms (Oracle, Workday, SAP), vendor technologies (Appian, ServiceNow, Microsoft, Outsystems, Unqork, Celonis) and Robotic Process Automation.
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Must be enrolled in an accredited college or university and pursuing the following degree/majors; Bachelors or Masters degree in Business, Management, Marketing, Communications, Finance, Analytics, Information Systems, Economics, Operations, Computer Science, Engineering, Supply Chain, Strategy, Organizational Psychology or equivalent program.
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Support strategic initiatives, focusing on business process, organizational structure, customer experience and technology & data transformation. Analyze and synthesize data to provide impactful insights and recommendations, supporting client projects in financial services, procurement, supply chain, program delivery, operational improvement and technology implementations.
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These customers include the USSF, USAF, NASA, NOAA, other federal agencies, and commercial industry who need your help to acquire systems with cutting-edge software capabilities to adapt to the evolving technology landscape.
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Strong technical aptitude, demonstrated quality service mindset, critical thinking skills and ability to navigate MS Office applications, including Excel, PowerPoint, Word and Outlook with a general understanding of data analysis technique.
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KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa.
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