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Sales & E-commerce:Drive sales through the TikTok Shop via livestreams using innovative tactics and deep product knowledge. Earn commission based on sales performance.
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Wahool, a leading TikTok partner, seeks talented individuals to grow their livestream business in the Greater Seattle Metro Area. The ideal candidate will have a blend of fashion retail expertise, on-camera experience, and a passion for social impact.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Prior experience in live streaming, fashion & beauty retail sales, or e-commerce (preferred). Provide fashion advice and insights on current trends. Responsibilities:Host TikTok livestreams showcasing new female fashion products and accessories.
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Team members have the unique opportunity to explore diverse business lines, gaining hands-on experience in various facets of finance, including accounting, audit and supply chain management.
$63,150 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Learning and Technology Support Specialist works with a broad and growing array of technology tools and has a deep understanding of learning processes to guide for all aspects of the student's learning experience for Husson Online.
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Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) and a solid understanding of neural network architectures for tasks like image recognition, segmentation, and generative modeling.
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There’s no one like you and that’s why there’s nowhere like RSM.RSM is looking for an experienced Hands-On Technical Sales Director with expertise in big data technologies and multi-cloud platforms to lead our technical team for the financial services industry.
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Expert hands-on knowledge of BPC embedded, HANA modelling, SAP Datasphere (Data Warehouse Cloud – DWC), ABAP, and Fox coding. Deep understanding of planning processes, including Sales/ Cost of Sales Planning, Workforce Planning, Capital Expense Planning, Project Planning, or OpEx Planning.
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Experience with Alteryx, Business Objects, Snowflake, Power BI, SAS, or Python SAP/ERP and/or PowerPlant applications/modules with deep understanding of related business processes. Become aFinancial IT Operations, Senior Advisorat Southern California Edison (SCE) and build a better tomorrow in the Corporate Accounting group within the Finance organization.
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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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Have hands-on experience in building deep learning and/or data pipelines. You will be part of the AI team at VideaHealth, where you will closely work within the team of Machine Learning engineers on a well defined project that is focused, dependent on the candidate, around Deep Learning or Data Science.
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We are seeking a highly skilled and experienced FP&A solution Architect with technical experience across multiple Enterprise Profitability Management (EPM) systems focusing on SAP Analytics Cloud (SAC) to join our team.
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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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Support the assessment of production suitability of Open Source and proprietary solutions for Generative AI (GenAI) Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL.
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