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This team is responsible for building data pipelines and delivering predictive modeling and data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.
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Bachelor's degree in IT or Computer Science, Atmospheric Science/Meteorology, or other math related field and 7 years of experience in analytics OR Master's degree in IT or Computer Science, Atmospheric Science/Meteorology, or other math related field and 5 years of experience in analytics.
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Pie is building a Claims Department where data, analytics, and technology will play a key role in achieving our goal of making small business insurance as easy as Pie. The ideal candidate will have a combination of strong technical skills in data analysis, data visualization, and predictive modeling and a strong understanding of Workers' Compensation insurance claims.
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Using interdisciplinary approaches including sociology, computer science, data science, experimental psychology, cognitive science, and statistics to analyze complex societal systems and large-scale social data to gain a deeper understanding of social processes and phenomenon.
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Bachelors degree in Data Science, Mathematics, Statistics, Computer Science, or related field. MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research.
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The Walt Disney Company Direct to Consumer's (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. 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.
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Demonstrating exposure to modeling methodologies in at least one of the following areas: credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics areas; and.
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We combine best of breed engineering practices, subject matter expertise, design services, computer science, and data analytics with innovative approaches in artificial intelligence and machine learning, AR/VR, R&D, and physics-based modeling and simulation providing tailored solutions addressing our customer’s unique threatrequirements.
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Collaborate with process engineers and modeling engineers to model improved materials and provide data for model validation. Experience with polymer, metal, or ceramic matrix composites modeling experience.
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MoDOT operates on shared values and your success in our organization depends upon modeling these values. Special Working Conditions: Remote work from another MoDOT facility and/or hybrid telework option may be considered.
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Master's degree in Systems Engineering or in related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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A Bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
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Between animal health, disease, production and the environment, and delivery of sustainable food animal products using data science and/or predictive tools). This is a 9-month, tenure-track position in which the successful candidate will develop an independent, integrated research program with an approach focused in animal disease (with an emphasis on understanding the linkages between animal health, disease, production and the environment, and delivery of sustainable food animal products using data science and/or predictive tools.
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Green Tree School & Services is seeking a qualified Computer Science Teacher to manage all functions within their assigned classrooms, including service delivery, reporting, and management of classroom assistants and aides.
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predictive modeling computer science jobs Title: data scientist senior Company: Omnicom Health Group
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