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Applied Science Manager 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
I lead a team of talented scientists and engineers to power up Alexa using cutting edge modeling and software solutions. I have more than 15 years of experience in machine learning and big data technologies in various industries including conversational agent, retail, digital advertising, anti-fraud, and healthcare. I got my PhD in computer science at Imperial College London and did postdocs at Technical University Munich and Helmholtz Research Centre Munich.
Imperial College London
Doctor of Philosophy (Ph.D.), Computer Science, Biomedical Engineering
January 1, 2008 – January 1, 2013
Fudan University
MSc, Electronic Engineering
January 1, 2005 – January 1, 2008
Fudan University
BSc, Electronic Engineering
January 1, 2001 – January 1, 2005
Amazon
Applied Science Manager
July 1, 2020 – Present
Seattle, Washington, United States
Amazon
Senior Applied Scientist
January 1, 2018 – July 1, 2020
Seattle, Washington, United States
Quantcast
Senior Machine Learning Scientist
March 1, 2017 – January 1, 2018
London, United Kingdom
IQVIA
Data Scientist
August 1, 2015 – March 1, 2017
London, United Kingdom
Technical University Munich & Helmholtz Research Centre Munich
Postdoctoral Researcher
January 1, 2014 – July 1, 2015
Imperial College London
PhD
January 1, 2008 – January 1, 2013
Fudan University
MSc Student
January 1, 2005 – January 1, 2008
Fudan University
BSc Student
January 1, 2001 – January 1, 2005
Cultural Fit Analysis
The candidate has a strong background in research and applied science, with significant experience in machine learning and data science across various domains (digital advertising, healthcare, biomedical modeling). While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards 'Applied Scientist' and 'Machine Learning Scientist' roles, which are typically more research-intensive and model-building focused than traditional data analysis. This suggests a potential mismatch in the day-to-day responsibilities and expectations for a Data Analyst role, which often emphasizes reporting, dashboarding, and business intelligence. The breadth of skills is high, but the alignment with a pure Data Analyst role is moderate.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leading teams and providing innovative solutions, suggesting strong problem-solving and leadership skills. The descriptions of past roles imply an ability to work with challenging real-world problems and collaborate with colleagues. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.