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Senior Applied Scientist at Amazon Music
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Math background; specialized in recommendation and ranking, natural language understanding, and off-policy evaluation
University of California, Davis
Doctor of Philosophy (Ph.D.), Mathematics
January 1, 2010 – January 1, 2016
University of Washington
Bachelor's degree, Mathematics & Philosophy
January 1, 2005 – January 1, 2009
Peninsula College
Associate of Arts (AA)
January 1, 2000 – January 1, 2002
Amazon Music
Senior Applied Scientist
May 1, 2025 – Present
Seattle, Washington, United States
Amazon Music
Senior Research Scientist
December 1, 2023 – May 1, 2025
Seattle, Washington, United States
Amazon Music
Research Scientist
May 1, 2019 – December 1, 2023
Seattle, Washington, United States
Amazon Web Services
Machine Learning Scientist
May 1, 2017 – September 1, 2019
Seattle, Washington, United States · On-site
UC Davis
Graduate Student Researcher
September 1, 2012 – August 1, 2016
UC Davis
Teaching Assistant
September 1, 2011 – June 1, 2012
Introduction to Data Science in Python
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in research and applied science within a large tech company (Amazon), which suggests an ability to work in structured, data-driven environments. The academic background in Mathematics (Ph.D.) indicates a rigorous, analytical approach. The transition from research to applied science roles shows adaptability. However, the projects listed are primarily individual contributions or research-focused, and there is no explicit mention of team collaboration or cross-functional work, which might be important for cultural fit in some data analyst roles.
Soft Skills & Operational Fit
The candidate's experience as a Research Scientist and Applied Scientist at Amazon suggests strong analytical thinking, problem-solving, and potentially independent research capabilities. The description of improving and establishing offline policy evaluation indicates a focus on practical application and impact. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided experience descriptions.