A Bayesian methods developer uses Bayesian statistics to develop models for decision-making and predictions. They apply principles of probability, statistics, and mathematics to create algorithms that interpret complex data. These developers design, test, and implement these models, often using programming languages like Python or R. Their work helps businesses make informed decisions by predicting future outcomes based on existing data. They also evaluate model performance, refine algorithms, and communicate findings to non-technical stakeholders. Their work is pivotal in fields like machine learning, AI, data analysis, and predictive modeling. They often collaborate with data scientists and analysts.