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Sr. Principal 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
Universidade da Coruña
BS, Computer science
January 1, 1996 – January 1, 2001
Universidade de A Coruña
PhD, Computer Science
January 1, 1996 – January 1, 2001
Amazon
Senior Principal Scientist
September 1, 2024 – Present
Amazon
Principal Scientist
April 1, 2021 – September 1, 2024
Amazon
Sr. Scientist - Core Machine Learning
May 1, 2017 – April 1, 2021
RMIT University
Research Fellow
October 1, 2016 – April 1, 2017
Melbourne
Yahoo Labs
Researcher
May 1, 2009 – June 1, 2016
Greater Barcelona Metropolitan Area
University of A Coruña
Assistant lecturer
January 1, 2007 – September 1, 2012
University of Glasgow
Visitor
January 1, 2005 – January 1, 2005
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and academic roles, with a strong focus on machine learning and NLP. While valuable, the direct alignment with a 'Big Data Engineer' role, which typically emphasizes distributed systems, data pipelines, and infrastructure, is not explicitly evident from the provided experience descriptions. The lack of project diversity specifically in big data engineering tools and platforms might indicate a gap in cultural fit for a pure engineering role, leaning more towards a research-oriented big data scientist position.
Soft Skills & Operational Fit
The candidate's extensive experience in research and senior scientist roles suggests strong analytical, problem-solving, and independent work capabilities. The teaching experience also implies good communication and mentorship potential. However, without psychometric test results, specific operational fit aspects like stress handling or team collaboration cannot be fully assessed.