Huan Qi
Data AnalystSr. Applied Scientist at Amazon
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
Sr. 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
Doctor of Philosophy (PhD), Mathematics and Statistics
January 1, 2009 – January 1, 2014
Beijing Institute of Technology
Bachelor, Math and Applied Math
January 1, 2005 – January 1, 2009
Amazon
Sr. Applied Scientist - Sponsored Products
March 1, 2023 – Present
Greater Seattle Area
Amazon
Sr. Applied Scientist - Inspirational Shopping
February 1, 2021 – March 1, 2023
Greater Seattle Area
Amazon
Applied Scientist II - Fashion Science
August 1, 2018 – January 1, 2021
Greater Seattle Area
Amazon
Machine Learning Scientist II - Fraud Prevention
August 1, 2014 – August 1, 2018
Greater Seattle Area
Amazon
Research Scientist Intern
June 1, 2013 – August 1, 2013
Greater Seattle Area
Stony Brook University Graduate Student Organizatoin
Senator
September 1, 2010 – August 1, 2013
Cold Spring Harbor Laboratory
Research Assistant
August 1, 2010 – June 1, 2014
Cultural Fit Analysis
The candidate has a long tenure at Amazon, progressing through various Applied Scientist roles, which indicates adaptability and growth within a large corporate environment. The focus on machine learning, recommendation systems, and fraud prevention shows a strong analytical and data-driven mindset. While the experience is deep within a specific domain (Applied Science/ML), the target role of 'Data Analyst' might require a broader exposure to different data analysis tools, business intelligence, and reporting, which are not explicitly detailed. The lack of diverse project types outside of Amazon's internal ML initiatives could be a minor concern for broader cultural fit in a role requiring diverse data analysis applications.
Soft Skills & Operational Fit
The candidate's experience at Amazon, particularly in leading scientific research and launching products, suggests strong problem-solving, initiative, and potentially leadership skills. The description of creating a text generation model and leading scientific efforts implies a proactive and innovative approach. However, specific details on collaboration, communication style, or project management within a team context are not explicitly provided.