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Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related.
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As an applied machine learning scientist, you will use your expertise in modern computer vision methodology to improve world-leading Sartorius imaging products routinely used by major companies across the life science and biopharmaceutical industry.
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We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations.
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8 years of directly relevant, tech industry work experience such as a statistician, or data scientist, with deep expertise in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 2+ years relevant experience is preferred but not a must; OR.
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Experience developing deep learning models in at least one of the following areas (CV, NLP, Reinforcement Learning) The role of Data Scientist will work on all aspects of the development cycle to help prototype, evaluate, deploy and maintain models that help enhance and differentiate Lytx as the leader in the Video Safety and Telematics industry.
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Experience building and using state of the art models such as deep learning in NLP or computer vision or similar application. As a Senior Data Scientist at WBD, you will take a key role in developing and deploying suites of machine learning models to predict content performance on Max, in turn driving business decision-making for our streaming platform.
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Extensive experience in data analysis and machine learning, using modern relevant data science libraries (preferably in Python) and deep learning frameworks for both structured and unstructured data (especially text.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR.
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In this role, you'll join the Data Science and Platform (DSP) team at Chime, responsible for developing innovative machine learning (ML) solutions in the fintech industry. Coursework or hands-on experience in building advanced machine learning techniques, including GBM’s, deep learning models, embeddings, Graph Neural Networks (GNNs), transformers, etc.
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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.
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Support cloud transformation to enhance Radial’s Data Science/Machine Learning capabilities. Machine Learning/Deep Learning. Serve as main point of contact for off-shore (IDC) and in-house Data Scientist Resources during on and off hours.
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You are a seasoned science manager with a proven track record of delivering high-impact ML/Deep Learning solutions. You have been a data scientist yourself and understand how to drive quality and data science excellence.
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Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
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