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The Director of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Center 2 (19050), United States of America, McLean, VirginiaLead Machine Learning Engineer, Finance TechAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning (ML) applications and systems at scale.
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7+ years of relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering.
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Using a Premium Audit selection model, the team can predict the likelihood of policy misclassification, automatically assign audit methods to save carriers time and money, and use machine learning to continuously improve correlation and prediction accuracy.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Strong technical and consultative experience managing ESI through the EDRM including staging, processing, culling, email threading, clustering, communication analysis, machine learning, predictive modeling, etc.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Continue to develop and help drive the strategy for the organization's data strategy including data architecture, Reporting, Insights, Analytics, Operations, Predictive modeling, attribution and Machine Learning/AI.
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Developing and executing model-based analyses including translational PK/PD approaches, population pharmacokinetic models, exposure-response models, clinical trial design simulation, disease progression models, quantitative systems pharmacology (QSP) modeling into programs, comparator modeling, thereby strengthening our pharmacometrics capabilities on a continuous basis in decision making and driving pipeline impact.
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As a Data Scientist on our team, you will: Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.
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Preference for candidates with experience in machine learning, data science, and statistical modeling. Highly valuable experience with Databricks, Spark, and big data technologies.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python. statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Experience with artificial intelligence/machine learning including both software development (coding) and operating AI/ML systems and tools. Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms.
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modeling machine learning jobs in Annapolis, MD
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