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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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This role requires significant knowledge and experience with modeling and simulation, the trade space between model fidelity and compute resources, sensors, data science, machine learning, digital twins, and the control layers from component to the system supervisory level.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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The desired candidate is an innovative, a hands-on coder with previous experience developing large-scale platforms utilizing data engineering, machine learning and cloud platforms & services.
$220,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge.
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Extensive experience with machine learning, deep learning, statistical modeling, causal inference methods, multivariate regression and classification. The Senior Principle – Data Scientist will lead the team responsible for developing cutting-edge methodologies to drive critical global rapid regulatory approaches and development decisions by positively impacting the way Ethicon conducts data collection and analysis.
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Data science and machine learning knowledge would be advantageous, but not required. Oracle Software Development Director - Distributed Systems Columbia, South Carolina Apply Now At Oracle Health Data Intelligence Platform (HDIP), we combine the strengths of the OCI & the leading healthcare technology platforms from Oracle Cerner, Oracle Healthcare’s Product & Technology, OHDA, Oracle Health Applications & Infrastructure and the mission of the Oracle Healthcare Global Business Unit.
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4+ years of related work experience in the field of Data Science & Machine learning. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in data recognition / analysis technologies and how they are used in Machine Learning, Data Analysis, Artificial Intelligence, Cognitive Neural Networks, ECM-solutions, Document Management.
$135,600 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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This position will leverage your academic knowledge and solid understanding of Artificial Intelligence and Machine Learning (AI/ML) to accelerate our internal company initiatives. Industry Experience: Experience in the Architecture, Engineering, and Construction (AEC) industry, or experience with geospatial data management, is preferred but not required.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. The candidate should possess strong analytical skills and the ability to communicate and collaborate effectively across internal cross-functional partners - including Category Management, Product Management, Business Development, Data Science, Channel Marketing, and Sales Operations.
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On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward.
$110,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team.
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10 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data Scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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