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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
Sheffield Hallam University
Doctor of Philosophy (PhD), Tracking of Field Hockey Players using a Single Wide-Angle Camera
January 1, 2013 – January 1, 2018
Sheffield Hallam University
MSc, Sports Engineering
January 1, 2012 – January 1, 2013
University of California, Davis
Computer Science
January 1, 2007 – January 1, 2008
University of East Anglia
Bachelor of Science (BSc), Computer Science
January 1, 2006 – January 1, 2009
Amazon
Senior Applied Scientist
July 1, 2022 – Present
Hybrid
Amazon
Applied Scientist
March 1, 2020 – July 1, 2022
Hybrid
Shortbite Ltd ( DigitalBridge )
Machine Learning Researcher
May 1, 2017 – February 1, 2020
Manchester, United Kingdom
Sheffield Hallam University
Goal Line Technology Tester
May 1, 2016 – September 1, 2016
Worldwide
BT
Software Engineer
March 1, 2012 – June 1, 2013
Ipswich, United Kingdom
Avnet Technology Solutions
Integration Engineer
December 1, 2010 – May 1, 2011
Sydney, Australia
Lincolnshire County Council
Information Officer
September 1, 2009 – June 1, 2010
Lincoln, United Kingdom
Cultural Fit Analysis
The candidate's background is heavily skewed towards Applied Scientist and Machine Learning Researcher roles, with a strong academic research focus. While there is an early career role as an 'Information Officer' involving data manipulation, the overall profile is more aligned with advanced ML/AI research and development rather than a pure Data Analyst role. The diversity of projects is within the ML/AI domain, which might not fully align with the typical scope of a Data Analyst position, potentially indicating a mismatch in cultural fit for a standard data analyst team.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and collaboration skills through managing academic partnerships and leading science vision. Problem-solving skills are evident from past roles. The experience in project management and interaction with external partners suggests good operational fit for complex projects.