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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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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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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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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.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leads problem formulation, model building and leverages, Machine Learning (ML) and Artificial Intelligence (AI) technology working directly with data to define analytics and synthesize findings that address customer requirements for value generation.
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One of our clients in Oil & Gas industry is currently seeking an experienced Data Scientist to join the Big Data and Advanced Analytics department. Participate in strategic planning discussions around optimizations, data science and big data analytics.
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Design and implement the enterprise data management platform, including a data lakehouse architecture, data analytics, machine language, artificial intelligence, data visualization, and data interoperability and integration for internal and external data feeds and sources, data storage solutions, including robust Big Data Tools solutions for the command.
$100 - $120 an hourExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
$75,821 - $125,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We have particular interest in a scholar with expertise in areas that are existing strengths for Bouve and Northeastern, including, but not limited to technology-based assessment or intervention, artificial intelligence/big data, behavioral neuroscience, behavioral genetics, the genetics of addiction, animal models of addiction, counseling interventions in-person and/or via telehealth, health care policy; and social justice/reduction of stigma.
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Heading up special projects for the company, you will have a unique opportunity to view and understand a company’s day-to-day challenges and priorities from the vantage point of a CEO. You will be exposed to every function at Jerry (product, operations, finance, engineering, data, marketing, etc) and learn how to execute big-picture strategies and navigate the intricacies of a complex business.
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The Hartford is seeking a Senior Machine learning Engineer within Actuarial to design, develop, and implement modern and sustainable MLOps framework to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. Work closely with a team of data scientists to leverage machine learning models to drive business performance.
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Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Under the direction of the Logistics Director, the Facilities Manager oversees the housekeeping, custodial services, rodent control, and grounds maintenance for all program-occupied facilities required for TADSS and range maintenance.
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The Opportunity 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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