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Fox Cable Network Services, LLC seeks a Data Scientist to utilize background in data analysis, data visualization and machine learning/artificial intelligence to build and implement solutions and utilize the best practices to keep FOX ahead of game.
$159,650 - $175,615 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
$94,764 - $161,096 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The position of Data Scientist will attend to all stages of data science projects utilizing technologies and tools such as Deep Learning, Traditional Machine Learning, and advanced analytical tools.
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SourcePro Search is conducting a search for an experienced Trusts & Estates Paralegal for a top ranked law firm to be based out of their Los Angeles office. Prepare drafts for estate planning, probate, trust administration.
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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Master's or PhD in computer science, applied mathematics, machine learning, data science highly preferred. Bachelor's degree in computer science, applied mathematics, machine learning, data science, or similar technical discipline.
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The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.
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Furthermore, by collecting ground data from different airport hubs, we can build robust machine learning models that take into account airfield traffic patterns and airport-specific constraints.
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The Production Machine Trainee will be trained on entry-level manufacturing duties and machines. Analytical - Synthesizes complex or diverse information; Uses intuition and experience to complement data; understands the work flows and procedures.
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We develop cutting edge sensors and mission systems, high bandwidth communication systems, large-scale simulation systems, space and satellite systems, avionics virtual machines as part of high fidelity digital twins that will improve the future of software development, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
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In this position, you will collaborate with other world-class scientists, researchers, and engineers innovating on a range of technologies including: Artificial Intelligence & Machine Learning (AI/ML), Advanced Training & Simulation, Production Analytics, Autonomy, Electro-Optical/Infrared Sensing, Cybersecurity, Disruptive Computing & Networks, and High-Fidelity Digital Twin & Virtualization.
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The Additive Manufacturing Quality Engineer will act as the command center for all data and trends related to 3D printing development and production performance. 1)Serve as the central hub for performance data and trends, leveraging advanced data analysis techniques to monitor, predict, and enhance 3D printing production efficiency.
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Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
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