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Provide expertise as to how big data, machine learning, or business intelligence can be leveraged to understand different client / prospect personas propensity for opening new accounts.
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As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
$73,000 - $220,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Reporting to the Chief Analytics Officer within Advancement's Business Intelligence and Data Science team, the Analytics Manager focuses on providing comprehensive data analysis and reporting services to support the Ohio State Alumni Association’s (OSUAA) and Advancement’s goals of acquiring, engaging, and securing donations from both alumni and non-alumni constituents.
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You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem. We are HR Data and Analytics, a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, data governance, and the development of artificial intelligence and machine learning (AI/ML) based solutions.
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SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI.
$151,800 - $253,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Support the use of Data and Analytics (D&A) in the audit, including data extraction and analysis; utilize a range of technologies and data analysis tools to execute substantive audit procedures, including artificial intelligence (AI), Excel, Alteryx, SQL, Python and Power BI; assist in the preparation of the related documentation.
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The team provides expertise in data science, analytics, and business intelligence as well as management of process and data/infrastructure to deliver on this charter.
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Business intelligence and data mining tools such as Tableau and Tableau Server. Master's degree in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree, or a Bachelor's degree with a minimum of 3+ years of work experience in analytics or data science.
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Working towards BS degree in data science, business analytics, applied mathematics or 1 year of experience in a related role. Working knowledge of business intelligence tools and understand data visualization best practices.
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
$100,000 - $145,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with large scale Business Intelligence platforms generally and specific knowledge of at least one platform specifically (for example – PowerBI, Qlik, Tableau, Alteryx, Lookr.
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4-6 years Business analysis, data science, workforce planning, project management, or a related field. Experience using business intelligence and reporting tools such as Tableau, Cognos, etc.
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As a CBRE Business Intelligence Sr. Analyst, you will be responsible for conducting advanced research, data mining, Business Intelligence Sr Analyst (Remote) This job is part of the Data Science & Analytics job function.
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