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Significant computer experience using Windows, Word, Excel, Access and ERP Information Systems, preferably SAP. CAD experience with 3D modeling tools is a plus. Identifying and investigating opportunities for cost reduction and/or quality improvement by judging opportunities and creating strategies to seize those opportunities, completing research and providing data-driven plans to management.
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T least 8+ years' experience, ideally within a Data Science role. Good knowledge of OpenCV, Scikit-image, TensorFlow, Torch, Pillow, numpy, pandas, scikit-learn etc. Knowledge of state-of-the-art deep learning model architectures in the areas of computer vision (NLP would be a plus.
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You will work with our Data Platforms and Data Science teams to leverage best practices for design patterns, testing and documentation. Experience with Data warehouse / management tools (e.g., Amazon Athena, Redshift, DBT, etc), and BI tools (e.g., Mode, Holistics, Looker Studio, etc.
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5+ years of experience with Project Management in Data Science domain. 3+ yrs Analytics with Marketing data to produce and socialize insights, marketing analytics and fundamental machine learning and data engineering techniques.
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The Legal & Compliance Organization is looking for a mid-level Data Analyst to join a multi-disciplinary group that works collaboratively with the Global Trade, Ethics & Compliance, Litigation, Privacy, Business Unit, and Corporate Services teams to conduct a wide range of business intelligence, visualization, and investigation support functions.
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10+ years of experience in developing data-plane applications. M.S./B.S. degree in Computer Science or equivalent military experience required. Solid foundation in design, data structures, and algorithms, and strong analytical and debugging skills.
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Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.
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We oversee, govern and support the integration and optimization of operational privacy capabilities including data inventory, data classification, data retention/deletion, and incident response, etc., to ensure scalable and compliant privacy and data protection practices.
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You will be responsible for procurement-related tasks such as sourcing activities, Request for Proposals (RFPs), managing supplier relationships, ERP system responsibility, procurement process optimization, and scale-up support of pipeline compound development and clinical programs.
$85 an hourFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Prior hands-on Data Analyst or Business Data Analyst or Business Systems Analyst or Business Intelligence analyst experience, including actual assignments understanding process, data, and business system conditions for quote-to-cash (must.
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Experience- Experience managing data pipelines- Experience as a leader and mentor on a data science team. experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regressionPREFERRED QUALIFICATIONS- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
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Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. Statistics, Data Science, Mathematics, Operations Research, Computer Science, Marketing Analytics, or related field.
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Ability to learn JPMorgan’s solutions such as payments, billing and subscriptions, omnichannel and more; Ability to understand how a wide variety of applications such as ERP, CRM, Billing, Tax and legacy systems interact with each other in an enterprise technology ecosystem.
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Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years' experience in software engineering or related area.
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Previous experience with SAP (or other ERP system) and Agile (or other document control systems) a plus. Equipment includes laser markers, thermal-transfer label printers, color inkjet label printers, and integrated Form-Fill-Seal (FFS) packaging/labeling systems (Multivac, Shawpak.
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erp job Title: data science Company: Edf Renewables North America in Mountain View, CA
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