5 of 5 Logistic Regression Jobs

services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

design, retrospective analysis, performance analysis, population split analysis and reject analysis. This position will involve performing analysis of multiple data sources using statistical analysis (Logistic Regression, Linear Regression, Decision Trees, Exploratory Data Analysis, CHAID analysis & Cluster Analysis) and computer science to solve business problems. We are looking ...

ideally bring: Commercial experience building credit risk or decisioning models within lending (insurance backgrounds may also be considered) Strong experience with scorecards, logistic regression and/or machine learning models Good understanding of how models influence real lending decisions and commercial outcomes Experience deploying and maintaining models within ...

areas: data science; epidemiology; administrative dataset analysis; maternal health; statistical analysis of routinely collected health care or clinical trial datasets using techniques such as logistic regression, imputation of missing data, multilevel modelling. . Application Interview Presentation Strong knowledge of research methods and techniques appropriate to the discipline ...

Advanced coding skills in a range of analytical software packages (eg R, SQL). Advanced statistical and/or mathematical skills including e.g. linear, logistic, cox regression, analysis of variance, repeated measures, survival analyses Advanced IT skills including Microsoft office. Excellent written and presentation communication skills. Effective stakeholder ...