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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.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Over 8 years of experience in machine learning, predictive modeling, statistics, computer science, bioinformatics, or computational biology, specializing in neuropsychiatric disorders.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Lead projects in computational and predictive modeling using machine learning, generative AI, causal modeling, and other relevant techniques. Proficient in statistical methods, machine learning, generative AI, causal modeling, probabilistic graphical models, and other advanced data science techniques, especially those focused on the use of multi-modal data.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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.
RemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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.
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A wide range of technical expertise finds a natural fit at NSA including, but not limited to, fields of algebra, combinatorics, Fourier analysis, operations research, graph analytics, regression, machine learning, exploratory data analysis, stochastic processes, statistical modeling, forecasting, and cryptography.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Fluency in Python,PyTorch, Tensorflow, Pandas, numpy, and machine learning packages. Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work.
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Understanding of Data Science Principles: Familiarity with machine learning techniques, statistical analysis, and predictive modeling. Experience with machine learning techniques, statistical analysis, and predictive modeling is preferred.
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Solid understanding of machine learning principles, deep learning architectures, and generative modeling techniques. Relevant certifications in AI, machine learning, or cloud platforms (e.g., AWS Certified Machine Learning Specialty.
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Statistical modeling knowledge or any machine learning technique knowledge is preferred (regression, logistic regression, random forest, etc.) This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
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Key Responsibilities:Lead the development and implementation of advanced analytics services, including predictive modeling, machine learning, and AI solutions. The ideal candidate will possess deep expertise in data science, machine learning, AI, and strategic business acumen.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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R and/or Python; SQL; statistical analysis and modeling, including linear and generalized linear models; time series analysis and forecasting; machine learning models such as random forests, XGBoost, and SVM; Spark (in Scala or from R or Python.
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Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modelling, simulation, text-mining, natural language processing (NLP), data mining, pathway/network analysis.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with advanced analytics techniques such as machine learning or predictive modeling. You thrive in an environment where collaboration and continuous learning are key.
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modeling machine learning jobs in Oklahoma City, OK
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