Serendeputy

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.. 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.. (*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).. Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.

senior

TransUnion's Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
We'd Love to See:
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. 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).
Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below. #J-18808-Ljbffr

START NEW SEARCH