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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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Data science, machine learning, optimization models, Master's degree 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.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders.
$136,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience in Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Proficient coding skills using Python, Spark, Tensorflow/PyTorch, and other deep learning tools. A bachelor's degree is required, with a strong preference for fields of study in computer science, statistics, and data mining.
$129,200 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government. You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days 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. The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
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At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow and more — to reveal the insights hidden within huge volumes of numeric and textual data.
$229,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 2 years’ experience building advanced Deep Learning architectures (for example: RNN’s, CNN’s, Transformers) 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.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
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Build and deploy scalable data science algorithms by applying statistical analytics, Machine Learning (ML), Anomaly detection, and other techniques to enable supply planning. Knowledge of common tools for data storage and processing (e.g. Spark, Hadoop Map/Reduce, Hive, Cassandra) including drilling into problems of running large scale software in a big network.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). Strong proficiency in statistical analysis and modeling techniques, such as linear regression, logistic regression, decision trees, random forests, clustering, deep learning algorithms, boosting, text mining and NLP.
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Contribute to the growth of the Data Science team by sharing your ideas, intellectual property and learning from others. We employ scalable cutting-edge machine learning (Client), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
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Experience in NLP, computer vision, deep learning techniques. Collaborate with cross-functional teams including data science, software engineering, and product management to build predictive models, forecasting tools, and recommendation systems.
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
$183,400 - $238,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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