A Bayesian Methods Developer applies Bayesian statistics to create models that predict outcomes based on probability. They incorporate prior knowledge and observed data to update the probability of hypotheses. They develop, test, and implement these models in various fields such as finance, healthcare, and AI. Their tasks also include data cleaning, data analysis, algorithm development, and generating reports. They constantly refine models based on new data and results, and collaborate with other experts to integrate these models into larger systems or applications. Their role combines statistical analysis, programming skills, and domain knowledge.