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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.g., Qlik Sense, Tableau, Power BI.
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Assist in identifying potential high interest intelligence data through extensive data mining of internal and OSINT (Open Source Intelligence) content. Proficient in Microsoft Office, GitHub, CEM platforms, case management, and analytical/data mining software.
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The Senior Learning Specialist will also help with administration of the Project’s Learning Management System (LMS), SuccessFactors. You will be responsible for maintaining existing instructor-led training in PowerPoint and online learning developed in Articulate Storyline.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Konica Minolta is seeking a Data Engineering and Machine Learning Ops Manager to join our growing Data and Analytics team. 8+ years of professional experience as architect, engineer, data scientist, etc.
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You will leverage your expertise in quantitative finance, machine learning, and data science to develop advanced models and analytics that drive trading strategies. Experience with machine learning models, Google Cloud Platform, cloud data warehouses, and distributed computing frameworks would be advantageous.
$325,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We strive to be the premier provider of the safest and most reliable conveyor belting and services to a variety of heavy industrial markets such as coal mining, hard rock mining, sand, gravel, wood handling, power generation, pulp and paper.
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Supports cost savings and overpayment/recovery efforts through data mining, pre-payment solutions, trend analysis, policy research and and resolution. Supports troubleshooting of vendor problems, provider appeals and inquiries to identify improvement areas internally through data analytics collaborating closely with all internal stakeholders to prepare solutions and resolve issues presenting to Management as required.
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Pursuing a Bachelor of Science in Underground Construction/Tunneling, Geotechnical, Structural, Geological/Engineering Geology, or Mining Engineering. Pursuing a Master of Science/ Engineering in Underground Construction/Tunneling, Geotechnical, Structural, Geological, or Mining Engineering.
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In this role, you will operate X-Ray equipment and apply your knowledge of Radiology Information Systems, PACSs, and digital data transfer processes. “Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group.
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Manage data ETL to analyze the state of our clients’ businesses across a variety of systems, channels and data sources (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity.
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Experience reviewing in-vivo and in-vitro data including, but not limited to, inhalation, pathology, chemistry, PCR, and ELISA. Mentor and train junior staff in Data Coordinator duties.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Data Center Technician Job Description - Run Ops (Layer 1) Responsibilities: Cabling & Termination ● The Fiber Technician will mount and install racks, patch panels, fiber optic and hardware. Data Center Technician Job Description - Run Ops (Layer 1) Responsibilities: Cabling & Termination ● The Fiber Technician will mount and install racks, patch panels, fiber optic and hardware.
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learning data mining jobs Title: engineer data in Newark, NJ
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