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Research Science Manager
Symeon Nikitidis received the B.Sc. and Ph.D. degrees in informatics from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2004 and 2013, respectively, and the M.Sc. degree in advanced computing from the University of Glasgow, Glasgow, U.K., in 2005. From 2006 to 2012, he was a Research and Teaching Assistant with the Department of Informatics, Aristotle University of Thessaloniki, and since 2012, he has been a Research Associate with the Department of Computing, Imperial College London, London, U.K. His research interests include statistical machine learning, digital signal and image processing and pattern recognition applied to computer vision problems such as human behaviour analysis.
Imperial College London
Postdoctoral Research Associate, Computer Vision
September 1, 2012 – December 1, 2015
Aristotle University of Thessaloniki (AUTH)
Doctor of Philosophy - PhD, Computer Vision
January 1, 2007 – March 1, 2013
University of Glasgow
MSc, MSc In Advanced Computing
January 1, 2004 – January 1, 2005
Aristotle University of Thessaloniki (AUTH)
Degree, Computer Sciense
January 1, 1998 – January 1, 2004
Amazon
Research Science Manager - Artificial General Intelligence
August 1, 2022 – May 1, 2025
Yoti
Head of Research And Development
July 1, 2018 – August 1, 2022
Yoti
Computer Vision and Machine Learning Research Scientist
December 1, 2015 – July 1, 2018
Deparment of Computing, Imperial College London
Research Associate
September 1, 2012 – November 1, 2015
Intelligent Behaviour Understanding Group (iBUG)
Department of Informatics, Aristotle University of Thessaloniki
PhD Candidate
January 1, 2007 – March 1, 2013
Artificial Intelligence & Information Analysis Laboratory (AIIA)
Artificial Intelligence and Information Analysis Lab in Aristotle University
Research Assistant
January 1, 2005 – September 1, 2012
Department of Computing Science, University of Glasgow
MSc Student
January 1, 2004 – January 1, 2005
Cultural Fit Analysis
The candidate's background is heavily focused on advanced research and development in Computer Vision and Machine Learning, primarily in academic and R&D leadership roles. While this demonstrates strong technical depth, the target role is 'Data Analyst'. This represents a significant pivot from their established career path. The lack of explicit data analysis projects or roles focused on business intelligence, reporting, or traditional data analysis tools (e.g., SQL, Tableau, Power BI) suggests a potential mismatch with the typical responsibilities of a Data Analyst. Their experience is more aligned with a Data Scientist or Machine Learning Engineer role.
Soft Skills & Operational Fit
The candidate's experience as a Research Science Manager and Head of R&D suggests strong leadership, strategic thinking, and project management skills. Their academic background indicates strong analytical and problem-solving abilities. However, specific details on collaboration, stress handling, and work attitude are not available from the provided data.