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Primary Duties/Responsibilities: Data Strategy Play an analytical role to define and drive analytics and business intelligence initiatives in the Data Platform team.
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Experience building and optimizing best practice Enterprise Risk Management, Third Party Risk Management, Risk Quantification, as well as Data Governance and Artificial Intelligence (AI.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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As Director, Security Governance, you will lead the overall information security governance program and strategy, providing skilled leadership to build high-performing team(s), and engaging IT and Business leaders across a wide spectrum of projects.
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We are seeking a Business Intelligence Analyst who will work within the Data Analytics and Business Intelligence team, which reports up through Finance & Operations.
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We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
$161,000 - $243,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Digital Factory Strategy Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc. + Minimum of 2 years experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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We are a top federal solutions provider searching for a dynamic individuals proficient in solutioning for federal proposal efforts, including one or more of the following: scientific data archives and environmental science systems (NASA/NOAA), 5G wireless solutions for tactical audio and video (private Federal networks) including support of Federal Spectrum Management Offices, and complex IT solutions rooted in Big Data, Artificial Intelligence, and Machine Learning.
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The Logility® Digital Supply Chain Platform leverages an innovative blend of artificial intelligence (AI) and advanced analytics to automate planning, accelerate cycle times, increase precision, improve operating performance, break down business silos and deliver greater visibility.
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The Manager, Business Intelligence Developer, is responsible for executing on strategy for Commercial data at Alaska Airlines and Horizon Air. As a people leader, the Manager, Business Intelligence Developer leads and establishes priorities for the team and partners with technical roles and senior leadership to solve commercial challenges.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
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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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