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Company Overview: Welcome to the forefront of artificial intelligence and machine learning innovation! Familiarity with machine learning deployment and productionization, including model deployment frameworks and containerization technologies.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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You will join a team of 3-5 developers to implement and test solutions in the areas of networking and machine learning for mixed wireless and wired networks, with the goal of CI/CD (continuous integration/continuous development), integration and testing, and with time you will take on lead roles and interface with customers.
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Analytics: The Senior Data Scientist will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
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The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, natural language processing, analysis of clustered data, data visualization and use of novel data sources and technologies to improve data gathering.
$88,000 - $157,000 a day (equity)ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Senior Data Scientist willquery and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$136,000Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.
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Programming experience + basic understanding of machine-learning statistics is a must! -Machine-learning algorithm development and use of tool kits ( the more, the merrier.
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We are open to hiring candidates to work out of one of the following locations:New York, NY, USA | Santa Clara, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- Experience in building machine learning models for business application- Experience programming in Java, C.
$136,000Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Must have a strong proficiency in Python, Java, or Groovy for data manipulation, statistical analysis, and machine learning model development. Utilize advanced statistical techniques and machine learning algorithms to build predictive models.
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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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Desired Skills are:Knowledge of machine learning frameworks such as TensorFlow, Pytorch, or others. Understanding of machine learning concepts, model evaluation strategies, and lifecycle (feature generation, model training, model development, bath and real time scoring) and engineering considerations.
$-14 - $139,395ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Anti-Money Laundering Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of machine learning, statistics, and other advanced analytic techniques.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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Experience must include the following: (1) Working with statistical modeling, machine learning, and data mining techniques; (2) Programming in Python; (3) Working with ML frameworks, including scikit-learn, Tensorflow, nltk, and sagemaker; (4) Shell programming; (5) Working with SQL; (6) Natural Language Processing and text analytics; (7) Working with huge datasets and big data technologies; (8) Managing junior data scientists.
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