Senior Manager, Applied Science at Amazon
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 Colorado Boulder
PhD, Computational and Applied Mathematics
January 1, 2007 – January 1, 2010
University of Waterloo
Master of Science (MS), Applied Mathematics
January 1, 2005 – January 1, 2007
University of Science and Technology of China
B.S., Mathematics and Computer Science
January 1, 2001 – January 1, 2005
Amazon Web Services (AWS)
Sr Manager, Applied Science
December 1, 2025 – Present
New York, United States · On-site
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University of Colorado Boulder
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Boulder, CO
Cultural Fit Analysis
The candidate has a strong background in large, fast-paced tech companies (Amazon, Groupon, LeEco), which suggests adaptability to demanding environments. The progression through various roles at Amazon indicates a capacity for growth and long-term commitment within an organization. However, the target role of 'Data Analyst' is a significant shift from 'Sr Manager, Applied Science'. While the underlying analytical skills are present, the managerial focus and advanced research background might indicate a potential mismatch with a purely analytical, non-managerial role, potentially leading to overqualification or a desire for more strategic influence than a typical Data Analyst role offers. The lack of diverse project descriptions outside of large corporate settings limits the assessment of broader cultural adaptability.
Soft Skills & Operational Fit
The candidate's career progression from individual contributor to Senior Manager at Amazon suggests strong leadership, project management, and potentially good communication skills. Experience supervising interns indicates mentorship capabilities. The descriptions of leading algorithm development and optimizing systems imply problem-solving and strategic thinking. However, without specific project details or direct communication assessments, it's difficult to fully gauge operational fit beyond technical leadership.