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The ideal candidate has deep technical and functional expertise in Finance Systems and has experience across multiple companies to introduce best practices leveraging their broad and deep knowledge of various ERPs (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Hyperion; Workday; or SAP.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Additional activities include: learning and staying informed on the complex and comprehensive Research & Learning product line; learning and following a comprehensive sales process; updating and managing sales pipeline information for an assigned list of accounts; managing time and resources effectively; representing Wolters Kluwer within the industry and territory; and contributing to sales planning and forecasting activities.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Requires a bachelor's degree in finance, Accounting, Business Management, or Information Technology (or related field) from an accredited college/university, and five (5) years of hands-on experience in Microsoft Power BI reports and SQL Server Database.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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Collaborate with and provide subject matter expertise to partner learning professionals with the goal of upskilling CrowdStrike partners through enablement experiences, including live training, on-demand learning, video job aids, assessments, podcast education and train-the-trainer programs.
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Our Federal Sales Manager's are individual contributors who play a vital role in driving a significant share of revenue for Okta. We provide our reps with an environment in which they can make valuable contributions from day one while also building opportunities for learning and growth.
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5+ years of extensive hands-on experience with OpenText Documentum products and technologies including Documentum Server, Administrator, Webtop, D2, xPlore, Content Transformation, Records Client, OTDS, and Intelligent Capture.
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
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An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members. The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures.
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Caring Hands Animal Hospital of Clarendon is seeking a dedicated, enthusiastic Vet Assistant to join our team! Veterinary Assistant Qualifications/RequirementsThe primary role of all Caring Hands Animal Hospital employees is to ensure that our clients and patients experience top-notch customer service and excellent patient care.
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Work closely with our partners across IT, Finance, and EX to manage upstream and downstream Anaplan data integration dependencies. With a strong dose of data savvy and a dedication to build upon your existing Anaplan model builder abilities, you will partner across FP&A, Finance Systems, HR, and IT to craft new functionality, support end user adoption, and champion process improvements.
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Solid hands-on 7 + years of experience in Oracle Fusion Financial Cloud including General Ledger (General Accounting), Accounts Payable, Accounts Receivable, Fixed Assets, Cash Management, Cost and Receipt Accounting, Sub Ledger Accounting rules, Inter-company transactions, Integrations with Order Management and Shipping execution both in Implementing and supporting the system.
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deep learning hands on finance sales jobs Company: Apple in Washington, DC
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