Summary
Mark Shin is a data science leader with over a decade of experience building high-impact teams and shipping AI/ML products that translate business goals into measurable outcomes. He has progressed from analyst roles to VP-level leadership across consumer-facing companies, most recently leading data science at StubHub after a multi-year tenure scaling AI at Angi. Mark combines deep statistical training (M.S. in Applied Mathematics/Statistics) with practical product instincts—deploying predictive models, automation systems, and data products that drive revenue and operational efficiency. He’s as focused on culture and coaching as on technical design, routinely turning ambiguous problems into elegant, scalable solutions. Based in the Denver metro area, he brings a rare blend of hands-on modeling experience and proven organizational leadership that accelerates team impact.
9 years of coding experience
20 years of employment as a software developer
M.S., Applied Mathematics, Statistics, M.S., Applied Mathematics, Statistics at University of Colorado Denver