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Our products leverage cutting-edge voice technology, language models, natural language understanding, video analytics, and Machine Learning to enable our customers to focus on what matters while providing faster responses, safer outcomes and greater transparency.
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Computer Science, Customer Due Diligence (CDD), Data Analysis, Data Integration, Data Manipulation, Data Mining, Data Quality, Data Visualization, Data Visualization Tools, Enhanced Due Diligence, Machine Learning, Microsoft Power BI, Process Optimization, Statistical Analysis System (SAS), Structured Query Language (SQL.
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By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally.
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Demonstrated experience working with data science teams in consuming services and providing data pipelines to build machine learning models Requires a bachelor's degree in computer science, information systems or a related study or equivalent project-related experience.
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Strong technical background in actuarial modeling and statistical methods including familiarity with emerging technologies, data science and machine learning techniquesDemonstrated ability to think strategically, solve complex problems, and drive results in a fast-paced environment.
$150,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a driven, Senior-level Product Manager who learns fast, is humble, and can manage extensive ambiguity across some of the company's, and industry’s most cutting-edge machine-learning initiatives.
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Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. Manage day-to-day execution of Small Business acquisition and portfolio direct mail programs, including data flows, performance reporting, campaign scheduling, and cost tracking.
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An entrepreneurial and meticulous Senior Data Engineering / Machine Learning Ops Manager who oversees the development of data for measurement and reporting across United’s digital media.
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Develop and deploy pricing analytics in a transformational global business environment using modern statistical methods and machine learning. Based out of our headquarters in the West Loop of Chicago , the SAS Data Programmer will be a critical part of the company’s continued transformation efforts.
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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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Architect, design, develop & implement Data Migration, DataIntegration, Data Governance, Data Quality, Data Visualization, MasterData Management, Reference Data Solutions, Data strategy Assessment,Feasibility Studies, Machine Learning.
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As a Manager, Product Manager on the Machine Learning Experience (MLX) Product team, you will be responsible for defining, designing, and delivering model and data monitoring tools for our model developers and data science community.
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Skills: Strong teaching and communication skills, expertise in AutoCAD customization, AI, machine learning, generative design, mobile technology, automation, programming (especially AutoLISP), data analysis, problem-solving, analytical, and creative thinking.
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You will have access to resources and support for expanding your knowledge and skills in cutting-edge technologies, including recommender systems, machine learning and artificial intelligence.
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Big data and machine learning experiences are (R, Python etc.) This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering.
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data machine learning jobs in Wood Dale, IL
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