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Trade training preferred; 5 years of related work experience in pricing, financial, profitability analysis or economics, preferably in a professional services environment; knowledge of legal statistical modeling and pricing tools required.
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Required) Experience using statistical computer languages (e.g., R, Python, SQL, etc.) The Reporting and Analytics team drives data-driven decision making at UCLA by providing delivering advanced data analytics, learning analytics, data modeling, automation, reporting and dashboarding, and other business intelligence solutions.
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Interprets structured and unstructured data as well as other agency data and exercise independent judgment to produce statistical analytic products using regression time series, confidence intervals, predictive modeling, and exploratory data analysis.
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This project aims to uncover the neural mechanisms of motivation and its regulation using fMRI neurofeedback and advanced statistical modeling. (e.g. for stimulus presentation, data cleaning, computational modeling.
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Knowledge of statistical modeling, database management, data visualization, server hardware/software management, web development skills, or algorithm development. For example, assist researchers with biostatistics and statistical modeling across a range of applications.
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Experience in data mining, descriptive analytics, application of statistical methods, analyses and modeling, predictive modeling, opportunity assessment and quantification, and simulation.
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High proficiency in statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques. Apply advanced statistical analysis and predictive modeling techniques to analyze datasets.
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Thorough knowledge of and ability to apply advanced math computation skills, statistical analysis and other mathematical concepts, including those used in financial modeling and forecasting.
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Proficiency in data analysis techniques and tools, such as statistical analysis, data visualization, and predictive modeling. Proficiency in data manipulation and analysis using tools such as Excel, R, Python, or other statistical software.
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SOLIDWORKS or CAD modeling software is a plus. Must have advanced skills in Microsoft Word, Excel, PowerPoint, and Minitab (or other statistical analysis software). Co-Owns the New Product Introduction (NPI) process by managing all required documentation including, customer documents, NPI “checklist” items, validation protocols/reports, statistical analysis, and compliance to all relevant ISO documents.
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SAS, RDeeply knowledgeable of regression models, stochastic process modeling, Monte-Carlo simulation, Optimization and/or other econometric and statistical techniques such as survival, proportional hazards, etc.
$212,000 - $318,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Algorithm Development (25%) Implement machine learning, statistical, data-mining, bioinformatics/clinical informatics algorithms. Dr. Ma works on computational causal discovery and predictive modeling theory and method development.
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Demonstrates advanced statistical capabilities, data mining, forecasting and predictive modeling skills, and/or actuarial techniques. Minimum of 5 years of experience using statistical concepts and tools Demonstrated expertise in relational database concepts.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Bachelor’s degree with quantitative underpinning (i.e., Mathematics, Statistics, Finance, Economics, or, Engineering) and 12+ years of Consumer Lending statistical modeling / analytics experience, fair lending analytics experience, model governance or validation.
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modeling statistical jobs
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