Exclusive Interview with Gusto and Stripe
Head of Data Science at Gusto
Daniel empowers Gusto’s Data Science and Engineering team. The team leverages Gusto’s data to help the company grow efficiently, detect and avoid fraud and to manage risk, and to help our customers make better data-informed decisions.
Prior to Gusto he directed data science at Lumos Labs, where he and the team delivered insights on cognitive performance, designed core game and workout algorithms and scoring systems and supported company growth efforts. Daniel completed a PhD in Cognitive Psychology with a focus on models of human learning processes at Stanford.