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Data science, machine learning, optimization models, PhD 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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Background in python and the data science stack (numpy, scikit-learn, etc), and deep learning frameworks such as PyTorch, TensorFlow, etc. Oversees others in extracting data from existing databases or literature and preparing data for statistical machine learning analysis.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Data Science and Machine Learning Frameworks (PyTorch, TensorFlow, Scikit-learn etc.) Engage with user and analyst to explore and prototype front office opportunity and use-case exploring data and the application of cognitive and machine learning technology.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The University of Southern California's Leonard D. Schaeffer Center for Health Policy and Economics is now accepting applications for one or more Postdoctoral Fellowships in health policy, health economics, and health services research with a specific focus on machine learning and data science applications in health economics and outcomes research (HEOR) and pharmacovigilance.
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Develop data science applications for visual inspection and classification, anomaly detection, predictive maintenance, NLP, or root cause analysis using computer vision, machine learning and deep learning.
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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.
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You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.
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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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Position Description: Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Qualifications Bachelor’s degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field, or the equivalent combination of education and related experience.
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100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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6+ years of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects Preferred. Perform exploratory data analysis and predictive modeling in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types under direct supervision.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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machine learning open source data science portfolio management jobs Company: Walmart
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