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Technical expertise and in-depth knowledge in one or more of the following ML topics: Anomaly detection and signal processing, time-series data analysis and modeling, Conventional Machine Learning methods, Computer Vision, Deep learning, CNNs, Natural Language Processing (NLP), text mining, sentiment analysis, information retrieval, etc.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Financial Data Scientist, you will leverage your expertise in data analytics, statistical modeling, and machine learning to extract insights from financial data and drive data-driven decision-making in the financial industry.
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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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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Summary: As a member of the Algorithms and Machine Learning team at Pison Technology, the Data Scientist will support machine learning research and development through data collection, signal processing, data mining/analysis, and model research.
$120,000 - $160,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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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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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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As a data scientist, you will be tackling time-series based machine learning problems to help build the next generation of algorithms that will provide early prediction for these patients and their doctors.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, forecasting, linear programming, natural language processing, LLMs.
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You bring with your e xtensive experience in processing complicated and large-scale dat a sets to extract and report insights from data, building advanced machine learning and deep learning models with various applications, and leveraging data to optimize business metrics.
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machine learning data mining scientist processing research jobs Company: Microsoft Corporation
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