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Experience modeling financial data within the Apptio platform. Experience using enterprise-scale data analytics software solutions such Apptio, ApptioOne, Tableau, SAS, Qlick, and Power BI.
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Collaborate with engineering, IT, finance, and supply chain teams to ensure seamless data integration and migration of direct material master data across systems and platforms. Proven experience (5+ years) in master data management, data governance, or data management roles, with at least 3 years in a leadership capacity (preferred.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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The Machine Learning Engineer position is in Iron Mountain Digital Business Unit that provides a content services platform that provides actionable business insights and predictive analytics through cutting-edge Machine Learning (ML)-based technology, which adds structure, context and meta-data to make data more usable.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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In collaboration with Senior Automation Engineer and/or Associate Director, Automation, support the installation and validation of a PI data historian for the commercial manufacturing facility.
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Qualifications: Bachelor’s degree in computer science, Engineering, or a related field Proven experience as a data engineer, with a strong focus on data migration, ETL, and data integration.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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Experience with data protection, cryptography, key management, identity, and access management (IAM), network security within SaaS, IaaS, PaaS, and other cloud environments. Operate the processes necessary to collect threat intelligence, analyze the data for patterns and actionable information, and create intelligence products for other teams to consume using MITRE ATT&CK Framework.
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Advance Auto Parts is looking for a motivated, nimble, collaborative and experienced attorney to join our Ethics and Compliance (E&C) team as a Senior Counsel focused on data privacy and general legal compliance matters such as anti-bribery/anti-corruption, trade compliance and state and local retail-related regulatory matters.
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We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. \- Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.
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Knowledge of: advanced level administrative knowledge of Microsoft Active Directory, Azure Active Directory, and hybrid identities; and familiarity with creating and tuning data loss prevention policies and data classification policies.
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Strong experience in SAP MM, PP, QM, PM configuration, including master data, production orders, work centers, bill of materials (BOM), routing, shop-floor controls, quality inspection plans, maintenance plans, and notifications.
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This position will serve as a Subject Matter Expert on clinical data and electronic health record systems and will act as a liaison between health care providers and the HIE to improve quality of the data sent to the HIE. This position will involve use of Mirth Interface Engine, Intersystems HealthShare Health Insight, HealthShare Clinical Viewer, and SAS technologies in support of the North Carolina Health Information Exchange Authority.
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apptio data jobs Title: financial engineer in Cary, NC
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