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In-depth knowledge of statistics and algorithms used in machine learning, text analytics, deep learning, and/or predictive modeling their appropriate use. Prepare complete and accurate documentation of machine learning processes.
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TECHNICAL SKILLS - Must be highly proficient in SQL; Experience with Python or R and data visualization tools is a plus; Experience/knowledge with Machine Learning is a plus. The Fraud Strategy and Analytics team works cross-functionally with Machine Learning, Product, Engineering, Operations to combat fraudulent activities and foster a safe platform for our users.
$159,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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4+ years of experience with data science, including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sci-kit-learn, TensorFlow, PyTorch.
$163,100 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Vertex AI: Proficiency in using Google Cloud's Vertex AI platform for building, deploying, and managing machine learning models, including GenAI models. Google Certifications (Google Certified Professional Cloud Architect, Google Certified Data Architect, or Google Certified Associate Cloud Engineer) – There is an expectation that a certification in Google Cloud will be necessary after hire.
$302,400 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Minimum ten years of recent, relevant experience in product management, product development or architecture design with a focus on technology platform, data and machine learning services, and APIs.
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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MS in Data Science, Computer Science, Statistics, Machine Learning, or related field. Knowledge of API development, containerization, and machine learning deployment highly preferred.
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Hadoop, SQL Database/Coding, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau. Model Building - Description: Leverage analytics tools like SAS to build complex statistical and machine learning models to build predictive and prescriptive strategies.
$128,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Prior experience with machine learning and artificial intelligence applications in skills ontology development. -Develop a detailed scalable flexible and comprehensive skills ontology tailored to the organizations needs leveraging existing client skills data where applicable.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Develop machine learning, data mining, and statistical techniques and algorithms to create new, scalable solutions to address community problems by analysis of large amounts of data.
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Deep knowledge of machine learning algorithms (supervised and unsupervised learning, neural networks, reinforcement learning) and their mathematical underpinnings (like statistics, probability, linear algebra, calculus) with knowledge of cloud services (AWS, Google Cloud, Azure) that offer AI/ML capabilities, understanding how to deploy models and manage scalable resources in the cloud.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics, quality assurance and data management roles. Experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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machine learning data jobs in Raleigh, NC
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