7 Permanent Logistic Regression Jobs

Database management skills, including hands-on experience with designing, implementing, and optimizing databases. Experience implementing machine learning algorithms and embedding techniques such as linear regression, logistic regression, Word2Vec, or other AI/ML frameworks. Proficiency in using orchestration tools such as Kubernetes, Docker, and Helm. Strong collaboration more »

on the sell side. Requirements: PhD or Master’s degree in subject with quantitative content (Mathematics, Statistics, Engineering) Experience developing Generalized Linear Models (Linear regression, ANOVA, ANCOVA, Logistic regression and other relevant models such as experimental design) and Mixed Effects Models Strong knowledge of statistical modelling techniques more »

cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning more »

or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for more »

testing and measurement strategies such as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious more »

or use the apply feature on this page KEYWORDS: Credit Risk Analytics, Credit Risk Modelling, Scorecards, IFRS9, AIRB, LGD, EAD, PD, Forecasting, Decision Science, Logistic Regression, SAS, SQL, R, Application Scorecard, Behavioral Scoring more »

project documentation, and system management Become familiar with all offerings outlined in the Insider's Guide to ACG various statistical offerings and methods (CHAID, logistic/multiple regression, cluster analysis, factor analysis) Epsilon data assets the SAS macro library Participate in the design, planning & execution of projects Effectively more »