Masoum Mosmer, Data Science at Wayfair
Masoum Mosmer is an experienced data leader and hands-on practitioner. He specializes in using
machine learning to solve complex business challenges across an array of industries including
eCommerce/Technology, Retail, CPG, Loyalty, Travel, and Financial Services Masoum. has a passion for teaching and is particularly interested in helping current and future business executives adopt the kind of data-centric and algorithmic mindset required to compete in the 21 st century.
He currently leads a team of talented data scientists and engineers at Wayfair, an eCommerce company based out of Boston, Massachusetts looking to disrupt the ~$600B home furniture, décor, and renovation market. In addition to his role at Wayfair, Masoum is an Adjunct Lecturer at York University in Toronto and Queen’s University in Kingston, where he teaches various data science and analytics courses. In his role at Wayfair, Masoum is developing algorithmic marketing and personalization solutions designed to drive incremental revenue, enhance customer experience, and improve customer loyalty. Prior to Wayfair, Masoum was Director of Machine Learning at Royal Bank of Canada based out of Toronto, Ontario.
Masoum holds a B.ASc in Mechanical Engineering from the University of Toronto and a Master of Management Analytics from Queen’s University.