4 of 4 Logistic Regression Jobs

quality. Familiarity with advanced patterns such as GraphRAG and agentic RAG to reduce hallucination and improve factual grounding. Technical Proficiency Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing ...

applications Preferred Qualifications Experience in professional software development Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression) Strong track record of publications at top-tier journals or conferences Experience with integer programming, dynamic programming, and/ ...

power and sample-size calculations within the context of study design and development Ability to use and re-fit models typically used in healthcare (logistic regression, decision trees, GLMMs, etc.), including implementing novel methods from publications. Own the data analysis for ongoing research projects Write and maintain code ...

consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design ...