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Demonstrated hands-on experience in Python, Javascript, and R.Demonstrated hands-on experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
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7 years of professional and/or academic experience working on complex data challenges in the areas of data architecture and engineering, data science, data analysis and visualization, machine learning, artificial intelligence, or related discipline.
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We need an experienced data scientist to work on all stages of the data science pipeline, to include applying existing machine learning software across large hyperparameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set.
$131,000 - $219,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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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You must have strong technical depth and experience in application of Machine Learning, Deep Learning, and Data Science techniques. 3+ years of experience in modern data mining and data science techniques (e.g., regressions, decision trees, ensemble algorithms, neural networks, time series analytics, clustering, anomaly detection, text analytics, etc.
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Bachelor's Degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 10 years of experience OR a Master's degree and 8 years of experience.
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Previous experience working with deep learning frameworks and architectures such as MXNet, TensorFlow, PyTorch, CNN/RNN/LSTM, Autoencoders, Transformers. Phd/MTech/MS in Computer Science, Artificial Intelligence/Machine Learning, Mathematics or Statistics.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Strong experience with Python libraries for data science analysis (e.g. NumPy, Pandas, Matplotlib) and deep learning (PyTorch or TensorFlow) Expertise in cheminformatics, virtual screening, and processing of biochemical data You should display strong communication skills, be organized and self-motivated, and play well with others (be a phenomenal teammate.
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Research and evaluate emerging data science technologies - Generative AI, Quantum, Image Compression and Recall, and Self Supervised Learning. Experience in Machine Learning to include - Feature extraction statistical approaches, linear and non-linear classifiers, and deep learning.
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This role will develop Artificial Intelligence, Machine Learning, and Deep Learning technologies, leverage advanced algorithms, and implement top-level analytic innovations. Our National Security Group is looking for a Data Scientist - Developer to strengthen our ability to deliver unique, intuitive, and exciting analytic applications and data concepts for our innovative emerging technologies.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with deep learning, natural language processing, computer vision, or reinforcement learning. Job Impulse, Inc. has an immediate opening for a Data Scientist in Tyson’s Corner, VA.
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As a Data Scientist or Senior Data Scientist - Federal , you will work with some of the largest organization on the planet to help them build the next generation of AI-powered enterprise applications.
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Dedrone's global sensor network, data science team, and computing cluster offer an ideal environment for research and development. Dedrone is looking for a team member to research, develop, and train deep-learning computer vision models and advance object-tracking algorithms.
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Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine-learning, and deep learning. · Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep LearningManager, Data Scientist, Fraud. 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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