Daniel

Daniel (J.X) Ma is an accomplished data scientist with extensive experience in analytics and machine learning across various industries. Positions held include senior roles at Spotify, where significant machine learning products for podcast advertising were developed, and previous roles at Wish, where promotion evaluation and attribution modeling were central tasks. Daniel has also contributed to academia as a sessional instructor at Mount Royal University and served in research positions at the University of Calgary. With a Ph.D. in Transportation Economics and a strong background in statistical modeling, Daniel leverages advanced data techniques to analyze consumer behavior and optimize advertising strategies. Currently, Daniel serves as Data Scientist II at DoorDash.