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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Expertise with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
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RPA, Machine Leaning, Generative AI, Data Science, Data Governance & Responsible AI. Our expertise spans a range of Microsoft technologies, including Azure, Dynamics 365 Business Central, Finance and Operations, Data and Analytics, Power-BI Fabric, Microsoft 365, Enterprise Collaboration Services, Power Platform, PowerApps, Security, Application & Infrastructure modernization, Internet of Things, Generative AI, Data Science, Data Governance, Responsible AI, and Cloud optimization.
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An elite quantitative trading firm, that has invested 100s of millions into machine learning research to build one of the world's most advanced prediction machines - is actively looking for a highly skilled Deep learning specialist to join their business and become a major player in the direction of their ML research.
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Integrate Azure Databricks with other Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning. · Experience with machine learning and AI integration in data pipelines is a plus.
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Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, AWS, Databricks) and machine learning infrastructure. Oversee the development and maintenance of scalable data and machine learning infrastructure utilizing tools such as Spark, Airflow, AWS, and Databricks.
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The Walt Disney Company Direct to Consumer’s (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Master's degree or PhD in quantitative finance, mathematics, statistics, computer science, engineering, or a related field. Stay current on the latest developments and innovations in quantitative finance, data science, and technology, and evaluate their applicability and relevance to the investment process.
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Konica Minolta is seeking a Data Engineering and Machine Learning Ops Manager to join our growing Data and Analytics team. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
$100,940 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
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machine learning data science computer jobs Title: vice president in New York, Columbia, Missouri
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