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Director of AI at ExperienceFlow.ai
Douglas Mason is the Director of AI at ExperienceFlow.ai. He has previously served as the CEO and Founder of Koyote Science, LLC, where he manages developers to integrate modular machine-learning APIs into new and exciting products that make a real difference for their customers. Prior to his entrepreneurial efforts Douglas was an applied scientist at Amazon Music where he lead efforts to dramatically improve automated music tagging, recommendation models, natural language understanding, and conversational chatbot policy. Thanks to the success of his team’s conversational agent (“Alexa help me find music”) Douglas then advocated for sensible state-of-the-art solutions for enterprise-level chatbot developers throughout Alexa. Previously, Douglas developed deep learning techniques to solve problems in automated music analysis. Douglas has worked as a monetization data scientist at Pinterest and as a product data scientist at Twitter where he built advertiser lifecycle strategies, advised on product experimentation and content strategy, and built user and customer behavior models to drive product development. Douglas advised both companies through their IPOs. Douglas received his PhD in physics from Harvard where he advanced algorithms and visualization techniques for modeling quantum systems. Specialties: Multi-armed bandits, probabilistic models, deep learning, signal processing, recommendation systems, natural language understanding (NLP/NLU), customer segmentation, strategic retention and revenue models, user behavior, A/B experimentation, product development, quantum physics.
University of California, Berkeley
PhD, Physics
January 1, 2008 – January 1, 2009
Harvard University
PhD, Physics
January 1, 2007 – January 1, 2012
University of Southern California
BS, Physics
January 1, 2002 – January 1, 2006
University of Southern California
BA, Music (Classical Guitar Performance)
January 1, 2002 – January 1, 2006
ExperienceFlow.AI
Director of AI
December 1, 2022 – Present
United States, India, Ukraine
Koyote Science, LLC
CEO & Director of Machine Learning
April 1, 2020 – December 1, 2022
San Francisco, CA
Amazon
Senior Applied Scientist (Machine Learning)
July 1, 2017 – April 1, 2020
San Francisco Bay Area
Senior Monetization Data Scientist
February 1, 2016 – November 1, 2016
San Francisco
Senior Data Scientist
February 1, 2014 – December 1, 2015
Data Scientist
November 1, 2012 – January 1, 2014
Insight Data Science
Fellow
June 1, 2012 – August 1, 2012
Palo Alto, CA
Lawrence Berkeley National Laboratory
Practicum Intern (Deep Sky Project)
May 1, 2009 – August 1, 2009
Berkeley, CA
Lawrence Berkeley National Laboratory
Molecular Foundry User
June 1, 2008 – May 1, 2009
Berkeley, CA
Krell Institute
Department of Energy Computational Science Graduate Fellow
January 1, 2008 – September 1, 2012
Harvard University
PhD Candidate (graduated)
August 1, 2007 – November 1, 2012
Cambridge, MA
Harvard University
Teaching Fellow
January 1, 2007 – May 1, 2007
University of Southern California
Research Assistant and Student
January 1, 2002 – January 1, 2006
Cultural Fit Analysis
The candidate's career trajectory shows a strong drive for innovation and impact, moving from foundational data science roles to leading AI initiatives and founding a company. The diverse experience across major tech companies (Amazon, Pinterest, Twitter) and entrepreneurial ventures indicates adaptability and a proactive approach to career development. The academic background in Physics and Music, while not directly aligned with a typical Data Analyst profile, demonstrates intellectual curiosity and a broad skill set. The target role of 'Data Analyst' might be a step down from their recent leadership roles in AI/ML, which could be a point of misalignment if the role does not offer sufficient scope for advanced analytical and strategic contributions. However, the core analytical skills are highly relevant.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Director of AI, CEO & Director of Machine Learning, Senior Applied Scientist) suggests strong leadership, team management, and strategic thinking skills. Descriptions of mentoring and leading cross-functional teams indicate good collaboration and communication. The entrepreneurial background with Koyote Science, LLC, highlights initiative and product development acumen. The academic background in Physics and Music suggests a blend of analytical rigor and creative problem-solving.