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Develop and deploy machine learning models at scale, utilizing tools like Apache Spark, Databricks, and cloud platforms. Apply advanced statistical analysis, machine learning techniques, and deep learning algorithms to solve complex business problems.
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AI/ML team you will apply and optimize state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZI’s mission.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of 1+ assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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5+ years experience as a data scientist or in another predictive modeling job with specialization in machine learning, statistical modeling and optimization. As a Data Scientist, you will be expected to create innovative solutions to solve business problems by using machine learning, statistical modeling and optimization techniques and turning them into real world solutions for decision making.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
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4 years experience as an Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Machine Learning Engineer II, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations.
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Show advanced knowledge of Machine Learning Algorithms/AI techniques including Deep Learning Techniques (RNN, CNN, GAN, etc) Demonstrate experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm.
$104,000 - $150,000 a yearTemporaryRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus.
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Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch) Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
$229,900 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Senior Data Scientist will build and oversee the building of predictive/prescriptive models using statistical and machine-learning methodologies. Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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Experience with neural deep learning methods and machine learning. We provide large-scale offline and online Brand Understanding data services, powered by cutting edge Machine Learning technologies (e.g., Large-Language-Model, Multi-Modal Deep Neural Networks, Statistical Modeling.
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Golang, Java, Python, Scala) Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility.
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