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8 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
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Computational social science (including agent-based modeling and simulation, social media analysis, behavioral economics, game theory, predictive modeling) Data science, data creation/curation, data fusion, visualization, analytics, and decision support.
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Develop models leveraging statistical analysis, regression modeling, optimization, predictive modeling, simulation, machine learning, economic models. Knowledge of analytical models, methods, applications and tools, such as statistical analysis, regression modeling, predictive modeling, simulation, machine learning and selecting and applying the right analytical techniques.
$55,300 - $99,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
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Data Modeling Power BI Developer Predictive Modeling Pyspark Python/Machine Learning SAS/SQL Programming. Our client is currently seeking a Analytics Consultant - W2 Only- Local to Concord CA Required Qualifications: 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
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Experience with modeling and simulation tools, data analytics, and predictive analytics. Lead and/or supervise the design and development of new synthetic routes for the manufacture of active pharmaceutical ingredients using the most modern technologies, including continuous processing, automated reaction screening, PAT, and modeling and simulation.
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Oversee data modeling, predictive analytics, geospatial analytics, and other investigative techniques employed by DART. - Develop and oversee the ongoing data analytics, data mining, data matching, data quality, and data sharing components, using software such as SQL and Oracle, that are used by internal and external partners including OPA, FIA, MICSA, HASA, ACS, and DHS.
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The purpose of the Analyst, Predictive Modeling position is to analyze data to drive better business decisions, including: Pricing and credit risk, loan servicing strategies, business policies, processes, and performance, and champion/challenger tests.
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We create open-source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions. Ability to uncover data-driven insights using statistical analysis or predictive analytics.
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Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g., regression, classification, Time Series analysis: e.g., ARIMA, Traditional machine learning methods: e.g., Random Forest, ensemble model techniques, Optimization: e.g. linear programming.
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A working knowledge of Java, deep learning, clustering, predictive modeling, and natural language processing (NLP) is also advantageous. Predictive analytics, data mining, and data visualization are common subjects covered in this program.
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Experience: Required 10+ years’ experience in analytical role using or leading teams to conduct predictive analytics, advanced statistical techniques, and modeling. This role will provide strategic oversight, leadership and direction within the EDA division and leads the team(s) responsible for data and technology management to support and enable Renown Health processes including business partnership, data integrity, data acquisition, statistical modeling, reporting, self-service analytics, and applied data science.
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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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Experience with Python, R, SQL, and Predictive Modeling a plus. A well established consulting firm is seeking an FSA or ASA with a background in Predictive Modeling. Title: Predictive Modeling Actuary - Life.
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You will analyze a wide range of HR data, such as employee demographics, performance metrics, recruitment data, and employee surveys, using advanced statistical techniques and predictive modeling.
$159,800 - $209,700 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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