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Applied Science Manager at Amazon Alexa
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Toronto
Doctor of Philosophy (PhD), Machine Learning
January 1, 2007 – January 1, 2012
University of Toronto
Master's degree, Machine Learning
January 1, 2005 – January 1, 2007
University of Toronto - University of St. Michael's College
Bachelor of Science (B.Sc.), Computer Software Engineering
January 1, 1996 – January 1, 2000
Amazon Alexa
Applied Science Manager
July 1, 2019 – Present
Toronto, Canada Area
Wave HQ
Director, Machine Learning
February 1, 2018 – January 1, 2019
Toronto, Canada Area
Freckle IoT
Director, Data Science
December 1, 2016 – February 1, 2018
Toronto, Canada Area
Rubicon Project
Director, Data Science
February 1, 2016 – November 1, 2016
Toronto, Canada Area
Rubicon Project
Lead Data Scientist, Buyer Cloud
April 1, 2015 – February 1, 2016
Toronto, Canada Area
Chango (Acquired by Rubicon Project - April 2015)
Lead Data Scientist
January 1, 2012 – January 1, 2015
Microsoft
Research Intern
January 1, 2010 – January 1, 2010
Mountain View, CA, USA
University of Toronto
Research Associate
January 1, 2004 – January 1, 2005
Toronto, Canada Area
Sapient
Associate of Technology
January 1, 2000 – January 1, 2003
Greater New York City Area
Cultural Fit Analysis
The candidate's extensive experience in Machine Learning and Data Science leadership roles, particularly within advertising technology and applied science, indicates a strong fit for data-intensive and innovative environments. The academic background further reinforces a culture of continuous learning and research. However, the target role of 'Data Analyst' might be a significant step down from their current and past leadership positions, potentially leading to a mismatch in expectations or underutilization of their advanced skills and experience. The lack of specific project details makes it difficult to assess diversity beyond their stated roles.
Soft Skills & Operational Fit
The candidate's career progression into leadership roles (Director, Manager) suggests strong soft skills such as leadership, strategic thinking, and team management. Experience at various companies, including an acquisition (Chango by Rubicon Project), indicates adaptability and resilience. The descriptions provided for Freckle IoT and Rubicon Project highlight an operational fit for roles requiring data-driven problem-solving and solution delivery.