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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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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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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONS- Ph. D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
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Post-doctoral research experience is desired as well as research or training in areas such as machine learning and/or deep learning in a biomedical context, signal processing and analysis for biomedical data, bioinformatics, computer vision, or other related areas.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Staff-led science goals include building a world-leading computational program in research areas that potentially include, but are notlimited to, computational nanoscience, quantum information science, multi-scale materials modeling, data science, artificial intelligence, machine learning and high-performance computing.
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Building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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Skills Required: Requires three (3) years of experience with the following: Python; PySpark; Deep Learning; Machine Learning; Time Series Analysis and Forecasting; Statistics; one (1) of the following financial products: equities, bonds, or commodities.
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Python/Golang, and have solid programming skills( algorithms and data structures);- Familiar with deep learning frameworks (TensorFlow/Pytorch);- Ability to work independently and complete projects from beginning to end and in a timely manner;- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
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The internship will involve using data science techniques that include predictive modeling, machine learning, text mining, segmentation and clustering to help in developing solutions to increase revenue and improve Member Experience.
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The Department of Mathematics & Statistics offers degree programs in Pure Mathematics, Applied Mathematics, Statistics, and Mathematics Secondary Education at the B.S. level, Applied Mathematics at the M.S. level, and a doctoral concentration in Data Science and Analytics within the multidisciplinary PhD program in Applied Science and Technology.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.
$131,584 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) Data Science & Machine Learning Frameworks.
$75 an hourRemoteExpandApply NowActive JobUpdated 5 days ago
machine learning data mining deep applied mathematics jobs Company: Pnc
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