James Savage is a contemporary American data scientist known for his work in the application of statistical methods to complex real-world problems. Holding advanced degrees in economics and statistics, Savage has contributed significantly to the fields of Bayesian inference and machine learning. He is also recognized for his engaging talks and workshops, which have made data science more accessible to a broader audience. Through his writing, James has authored numerous articles and papers that bridge the gap between theoretical statistics and practical applications in industry.