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With strong project portfolioMinimum 5 years of industry experience (2 years with PhD and 3 years with MS) in quantitative modeling of credit riskStrong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithmsExperience with modeling financial products and/or securitization, preferably mortgage-backed securities.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
Work from homeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Forecasting and Predictive Modeling: Develop predictive models for customer acquisition, churn, and cross-sell opportunities to support strategic planning and resource allocation.
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Experience in pattern recognition and predictive modeling. Typically requires hands-on related experience in advanced analytics, big data, data visualization in Looker, PowerBI or Tableau, SQL/Python coding of relational databases, as well as project management experience.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Develops creative data-driven solutions by employing data science techniques such as operations research, advanced statistics, feature engineering, machine learning/AI, predictive analytics, Master’s degree in data science, operations research, statistics, or a relevant technical field (Predictive Analytics, Computer Science, Mathematics, etc.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas. Collaborate with business partners to understand their problems and goals; develop predictive modeling, statistical analysis, data reports and performance metrics; and present recommendations to senior staff and clients.
$97,335 - $201,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling.
$110,500 - $149,500 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Understands pricing components and rating methodology as well as use of the predictive modeling tools; prices risk based on financial and competitive analysis. CNA's Commercial Middle Markets team provides standard lines commercial property and casualty insurance products such as General Liability, Property, Inland Marine, Commercial Auto, Workers' Compensation, and Umbrella to businesses of all sizes.
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Job Summary The Data Scientist will leverage statistical analysis, predictive and prescriptive modeling, and advanced visualizations to assist organizational leadership with operations, change monitoring, strategic planning and program development.
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Design, execute, and interpret research pertaining to data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to build real-time classification algorithms from human movement data.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling. Experience with marketing mix modeling/econometric analysis and Multi-touch attribution for offline and online channels; working understanding of offline and online channel KPI’s.
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Experience with advanced analytic techniques, such as multivariate regression analysis, predictive modeling, logistic regression, factor analysis, forecasting, response prediction, advertising effectiveness, consumer profiling, market mix and ROI measurement.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques. This area has a unique appetite for a wide scope of model methodologies, from simple rules-based models to advanced machine learning and AI models which facilitates opportunities for both immediate, effective contribution on team priorities and personal development through exposure to advanced modeling techniques.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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8 years of relevant work experience in predictive modeling. Keywords : data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.
ExpandApply NowActive JobUpdated 4 days ago
predictive modeling jobs in Chicago, IL
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