3 of 3 Random Forest Jobs in the South East

quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command ...

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 ...

data science projects and demonstrating commercial impact. Familiarity with cloud environments such as AWS is beneficial. Exposure to Bayesian methods, random forests, or similar approaches is highly desirable. Marketing or channel performance experience is helpful but not essential; technical capability is the priority. What They Offer Salary between ...