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As an 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.
$78,000 a yearFull-timeExpandApply NowActive JobUpdated 7 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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You'll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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3+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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Leidos is hiring for a Senior Machine Learning Software Engineer in Columbia, MD. You will serve on a mission-critical project that will leverage your skills to ensure delivery of a premier Security Operations Center (SOC) prototype solution to the customer.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This role requires significant knowledge and experience with modeling and simulation, the trade space between model fidelity and compute resources, sensors, data science, machine learning, digital twins, and the control layers from component to the system supervisory level.
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This is a role that will provide the opportunity to develop skills and experience in Machine Learning, Artificial Intelligence, and a wealth of data engineering initiatives. Sealing Technologies is seeking a Senior Cybersecurity Analyst to aid in the development and maintenance of a Machine Learning platform for a DoD Customer.
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Support the Laboratory for Analytic Sciences (LAS) in developing and coding a machine learning recommender system for corporate data feeds. Use either Ghost Machine (GM) Pig and/or GMLearn Instant Environment to conduct Exploratory Data Analytics (EDA.
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Business solutions leveraging Machine Learning, Robotic Process Automation, Artificial Intelligence, Electronic Content Management, Document Management Systems, Workflow, Business Process Management and/or Information Governance.
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Learn from experienced data scientists and machine learning engineers! Familiarity with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. This intensive 10-week paid internship will immerse you in the exciting world of AI and machine learning.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Database design/operations/maintenance, reverse engineering, data normalization and cleansing, scripting, data analysis and visualization, data security.
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Degree must be in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering etc.
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Extensive experience with machine learning, deep learning, statistical modeling, causal inference methods, multivariate regression and classification. The Senior Principle – Data Scientist will lead the team responsible for developing cutting-edge methodologies to drive critical global rapid regulatory approaches and development decisions by positively impacting the way Ethicon conducts data collection and analysis.
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machine learning data jobs in Columbia, ND, France
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