Jason is a data scientist working in the ad tech industry. He ended up in the field after some time spent working as a derivatives trader, and his background is in mathematics and theoretical physics. His favorite part of being a data scientist is solving complex quantitative problems creatively, and when he's not science-ing data he's probably reading and hanging out in Brooklyn.
Jason created General Assembly's Data Science curriculum during his first stint as an instructor in the Spring of 2013.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.