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Job Description
Senior Data Scientists II for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements. Lead small team of Data Scientists. Test new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Process, cleanse, and verify integrity of data. Present analysis ideas, progress reports and results to internal and external customers. Technical environment: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; Dbeaver; H2O.ai; Redshift.
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Job Requirements
Master's degree in Statistics, Analytics, Business Analytics, Mathematics, Computer Science, or related field plus two years of experience in job offered or in data science with machine learning required. Required skills: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; H2O.ai; Redshift. 100% telecommuting permitted. (Bachelor's degree in Statistics, Analytics, Business Analytics, Mathematics, Computer Science, or related field plus five years of progressive experience in job offered or in data science with machine learning also acceptable).
