Help & Supportcareers@gravityer.com
Senior Applied Scientist 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
Stony Brook University
PhD, Statistics
January 1, 2010 – January 1, 2015
Nankai University
Bachelor of Science (BS), Mathematics
January 1, 2006 – January 1, 2010
Amazon
Principal Applied Scientist
June 1, 2015 – Present
Greater Seattle Area
Amazon
Research Scientist Intern
May 1, 2014 – August 1, 2014
Stony Brook University
Statistical Analyst
April 1, 2012 – May 1, 2015
The Center of Excellence in Wireless and Information Technology (CEWIT)
Data Analyst
January 1, 2011 – May 1, 2015
Department of Applied Mathematics and Statistics, Stony Brook University
Teaching Assistant
September 1, 2010 – June 1, 2012
SAS Certified Advanced Programmer for SAS 9
SAS Institute
June 24, 2026 – Present
SAS Certified Base Programmer for SAS 9
SAS Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and significant experience in research and applied science roles, including a Principal Applied Scientist role at Amazon. While the technical skills are highly relevant, the career trajectory leans heavily towards research and advanced statistical modeling rather than typical business-oriented data analysis projects often found in a 'Data Analyst' role. The lack of diverse project descriptions outside of academic/research contexts makes it challenging to fully assess cultural fit for a standard corporate data analyst position. The experience at Amazon as a 'Principal Applied Scientist' suggests a high level of technical autonomy and depth, which may or may not align with the collaborative and often more business-focused nature of a Data Analyst role.
Soft Skills & Operational Fit
The candidate's resume highlights a strong analytical and research-oriented mindset. The detailed descriptions of statistical methodologies used suggest a methodical and problem-solving approach. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication style, or adaptability in a corporate operational setting beyond the technical descriptions.